CourtListener

MCP for CourtListener: US federal and state opinions, dockets, judges, plus eCFR regulations.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
94%
Vollständigkeit des Schemas
88%
Qualität der Benennung
84%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
90%
Einhaltung des Protokolls
100%

Befunde (8)

  • LOWTool 'citation_batch_lookup_citations' description lacks action verbin citation_batch_lookup_citations
  • LOWTool 'citation_batch_lookup_citations' name length outside 3-30 rangein citation_batch_lookup_citations
  • LOWTool 'citation_verify_citation_format' name length outside 3-30 rangein citation_verify_citation_format
  • LOWTool 'citation_parse_citation_with_citeurl' name length outside 3-30 rangein citation_parse_citation_with_citeurl
  • LOWTool 'citation_extract_citations_from_text' name length outside 3-30 rangein citation_extract_citations_from_text
  • LOWTool 'citation_enhanced_citation_lookup' name length outside 3-30 rangein citation_enhanced_citation_lookup
  • LOWTool 'ecfr_get_hierarchy_search_counts' name length outside 3-30 rangein ecfr_get_hierarchy_search_counts
  • LOWTool 'citation_parse_citation_with_citeurl' suggests web access but openWorldHint=falsein citation_parse_citation_with_citeurl

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~6,085Tokens (Tool-Definitionen)
~1.5 KBTypische Antwortgröße
Erhebliche Auswirkung auf die Aufmerksamkeit (4.75% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "courtlistener-mcp": {
      "url": "https://courtlistener-mcp.vaquill.ai/mcp/"
    }
  }
}

Remote-Endpunkte

https://courtlistener-mcp.vaquill.ai/mcp/streamable-http

Was es kann

Tool-Inventar

Tools (34)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟢status

Check the status of the CourtListener MCP server. Returns: A dictionary containing server status, system metrics, and service information.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢search_opinions(q, court, case_name, judge, filed_after, ...)

Search case law opinion clusters with nested Opinion documents in CourtListener.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "q": {
      "description": "Search query for full text of opinions",
      "type": "string"
    },
    "court": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Court ID filter (e.g., 'scotus', 'ca9')"
    },
    "case_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by case name"
    },
    "judge": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by judge name"
    },
    "filed_after": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Only show opinions filed after this date (YYYY-MM-DD)"
    },
    "filed_before": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Only show opinions filed before this date (YYYY-MM-DD)"
    },
    "cited_gt": {
      "anyOf": [
        {
          "minimum": 0,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Minimum number of times opinion has been cited"
    },
    "cited_lt": {
      "anyOf": [
        {
          "minimum": 0,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Maximum number of times opinion has been cited"
    },
    "order_by": {
      "default": "score desc",
      "description": "Sort by 'score desc', 'dateFiled desc', or 'dateFiled asc'",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "description": "Max results from this page (upper bound; CL pages ~20)",
      "maximum": 100,
      "minimum": 1,
      "type": "integer"
    },
    "cursor": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Pagination cursor from a prior response's next_cursor"
    }
  },
  "required": [
    "q"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢search_dockets(q, court, case_name, docket_number, date_filed_after, ...)

Search federal cases (dockets) from PACER in CourtListener.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "q": {
      "description": "Search query for docket text",
      "type": "string"
    },
    "court": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Court ID filter (e.g., 'scotus', 'ca9')"
    },
    "case_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by case name"
    },
    "docket_number": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Specific docket number to search for"
    },
    "date_filed_after": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter dockets filed after this date (YYYY-MM-DD)"
    },
    "date_filed_before": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter dockets filed before this date (YYYY-MM-DD)"
    },
    "party_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by party name"
    },
    "order_by": {
      "default": "score desc",
      "description": "Sort by 'score desc', 'dateFiled desc', or 'dateFiled asc'",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "description": "Max results from this page (upper bound; CL pages ~20)",
      "maximum": 100,
      "minimum": 1,
      "type": "integer"
    },
    "cursor": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Pagination cursor from a prior response's next_cursor"
    }
  },
  "required": [
    "q"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢search_dockets_with_documents(q, court, case_name, docket_number, date_filed_after, ...)

Search federal cases (dockets) with up to three nested documents. If there are more than three matching documents, the more_docs field will be true.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "q": {
      "description": "Search query for federal cases",
      "type": "string"
    },
    "court": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Court ID filter (e.g., 'scotus', 'ca9')"
    },
    "case_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by case name"
    },
    "docket_number": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Specific docket number to search for"
    },
    "date_filed_after": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter dockets filed after this date (YYYY-MM-DD)"
    },
    "date_filed_before": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter dockets filed before this date (YYYY-MM-DD)"
    },
    "party_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by party name"
    },
    "order_by": {
      "default": "score desc",
      "description": "Sort by 'score desc', 'dateFiled desc', or 'dateFiled asc'",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "description": "Max results from this page (upper bound; CL pages ~20)",
      "maximum": 100,
      "minimum": 1,
      "type": "integer"
    },
    "cursor": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Pagination cursor from a prior response's next_cursor"
    }
  },
  "required": [
    "q"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢search_recap_documents(q, court, case_name, docket_number, document_number, ...)

Search federal filing documents from PACER in the RECAP archive.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "q": {
      "description": "Search query for RECAP filing documents",
      "type": "string"
    },
    "court": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Court ID filter (e.g., 'scotus', 'ca9')"
    },
    "case_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by case name"
    },
    "docket_number": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Specific docket number to search for"
    },
    "document_number": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Specific document number to search for"
    },
    "attachment_number": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Specific attachment number to search for"
    },
    "filed_after": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter documents filed after this date (YYYY-MM-DD)"
    },
    "filed_before": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter documents filed before this date (YYYY-MM-DD)"
    },
    "party_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by party name"
    },
    "order_by": {
      "default": "score desc",
      "description": "Sort by 'score desc', 'dateFiled desc', or 'dateFiled asc'",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "description": "Max results from this page (upper bound; CL pages ~20)",
      "maximum": 100,
      "minimum": 1,
      "type": "integer"
    },
    "cursor": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Pagination cursor from a prior response's next_cursor"
    }
  },
  "required": [
    "q"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢search_audio(q, court, case_name, judge, argued_after, ...)

Search oral argument audio recordings in CourtListener.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "q": {
      "description": "Search query for oral argument audio",
      "type": "string"
    },
    "court": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Court ID filter (e.g., 'scotus', 'ca9')"
    },
    "case_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by case name"
    },
    "judge": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by judge name"
    },
    "argued_after": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter arguments after this date (YYYY-MM-DD)"
    },
    "argued_before": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter arguments before this date (YYYY-MM-DD)"
    },
    "order_by": {
      "default": "score desc",
      "description": "Sort by 'score desc', 'dateArgued desc', or 'dateArgued asc'",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "description": "Max results from this page (upper bound; CL pages ~20)",
      "maximum": 100,
      "minimum": 1,
      "type": "integer"
    },
    "cursor": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Pagination cursor from a prior response's next_cursor"
    }
  },
  "required": [
    "q"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢search_people(q, name, position_type, political_affiliation, school, ...)

Search judges and legal professionals in the CourtListener database.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "q": {
      "description": "Search query for judges and legal professionals",
      "type": "string"
    },
    "name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by person's name"
    },
    "position_type": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by position type (e.g., 'jud' for judge)"
    },
    "political_affiliation": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by political affiliation"
    },
    "school": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by school attended"
    },
    "appointed_by": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by appointing authority"
    },
    "selection_method": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Filter by selection method"
    },
    "order_by": {
      "default": "score desc",
      "description": "Sort by 'score desc' or 'name asc'",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "description": "Max results from this page (upper bound; CL pages ~20)",
      "maximum": 100,
      "minimum": 1,
      "type": "integer"
    },
    "cursor": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Pagination cursor from a prior response's next_cursor"
    }
  },
  "required": [
    "q"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢get_opinion(opinion_id)

Get a specific court opinion by ID from CourtListener.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "opinion_id": {
      "description": "The opinion ID to retrieve",
      "type": "string"
    }
  },
  "required": [
    "opinion_id"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢get_docket(docket_id)

Get a specific court docket by ID from CourtListener.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "docket_id": {
      "description": "The docket ID to retrieve",
      "type": "string"
    }
  },
  "required": [
    "docket_id"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢get_audio(audio_id)

Get oral argument audio information by ID from CourtListener.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "audio_id": {
      "description": "The audio recording ID to retrieve",
      "type": "string"
    }
  },
  "required": [
    "audio_id"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢get_cluster(cluster_id)

Get an opinion cluster by ID from CourtListener.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "cluster_id": {
      "description": "The opinion cluster ID to retrieve",
      "type": "string"
    }
  },
  "required": [
    "cluster_id"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢get_person(person_id)

Get judge or legal professional information by ID from CourtListener.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "person_id": {
      "description": "The person (judge) ID to retrieve",
      "type": "string"
    }
  },
  "required": [
    "person_id"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢get_court(court_id)

Get court information by ID from CourtListener.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "court_id": {
      "description": "The court ID to retrieve (e.g., 'scotus', 'ca9')",
      "type": "string"
    }
  },
  "required": [
    "court_id"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢citation_lookup_citation(citation)

Look up a legal citation to find the opinion it references in CourtListener. This tool accepts various citation formats including: - U.S. Reporter citations (e.g., "410 U.S. 113") - Federal Reporter citations (e.g., "123 F.3d 456") - WestLaw citations (e.g., "2023 WL 12345") - State reporter citations

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "citation": {
      "description": "The citation to look up (e.g., '410 U.S. 113', '2023 WL 12345')",
      "type": "string"
    }
  },
  "required": [
    "citation"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢citation_batch_lookup_citations(citations)

Look up multiple legal citations in a single request. This is more efficient than making individual requests for each citation. Accepts up to 100 citations at once.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "citations": {
      "description": "List of citations to look up (max 100)",
      "items": {
        "type": "string"
      },
      "maxItems": 100,
      "minItems": 1,
      "type": "array"
    }
  },
  "required": [
    "citations"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢citation_verify_citation_format(citation)

Verify if a citation string is in a valid format using citeurl's advanced parsing. This tool performs validation using citeurl's comprehensive citation templates to check if a citation appears to be in a recognized legal citation format. This is much more accurate than simple regex matching. Returns information about the citation format and any detected issues.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "citation": {
      "description": "The citation to verify",
      "type": "string"
    }
  },
  "required": [
    "citation"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢citation_parse_citation_with_citeurl(citation, broad)

Parse a legal citation using citeurl's advanced citation recognition. This tool uses the citeurl library to parse legal citations and extract structured information including tokens, normalized format, and URL generation. Returns detailed information about the citation including: - Recognized citation format and source - Extracted tokens (volume, reporter, page, etc.) - Generated URL if available - Normalized citation text

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "citation": {
      "description": "The citation to parse (e.g., '410 U.S. 113', '42 USC § 1988')",
      "type": "string"
    },
    "broad": {
      "default": true,
      "description": "Use broad matching for more flexible parsing",
      "type": "boolean"
    }
  },
  "required": [
    "citation"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢citation_extract_citations_from_text(text)

Extract all legal citations from a block of text using citeurl. This tool finds and parses all legal citations within a given text, including both long-form and short-form citations (like 'id.' references).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "description": "Text containing legal citations to extract",
      "type": "string"
    }
  },
  "required": [
    "text"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢citation_enhanced_citation_lookup(citation, include_courtlistener)

Enhanced citation lookup combining citeurl parsing with CourtListener data. This tool first uses citeurl to parse and validate the citation format, then optionally queries the CourtListener API for additional case information.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "citation": {
      "description": "The citation to look up and analyze",
      "type": "string"
    },
    "include_courtlistener": {
      "default": true,
      "description": "Whether to also perform CourtListener API lookup",
      "type": "boolean"
    }
  },
  "required": [
    "citation"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_list_titles

List all 50 CFR titles with their latest amended/issue dates and status.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_get_title_versions(title)

List the available content versions (issue dates) for one CFR title.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "title": {
      "description": "CFR title number (1-50)",
      "maximum": 50,
      "minimum": 1,
      "type": "integer"
    }
  },
  "required": [
    "title"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_get_title_structure(title, date)

Get the full hierarchical structure (title -> section) of a CFR title on a date.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "title": {
      "description": "CFR title number (1-50)",
      "maximum": 50,
      "minimum": 1,
      "type": "integer"
    },
    "date": {
      "description": "Snapshot date (YYYY-MM-DD)",
      "type": "string"
    }
  },
  "required": [
    "title",
    "date"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_get_ancestry(title, date, part, section)

Get the ancestry chain (title -> ... -> node) for a CFR node on a date.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "title": {
      "description": "CFR title number (1-50)",
      "maximum": 50,
      "minimum": 1,
      "type": "integer"
    },
    "date": {
      "description": "Snapshot date (YYYY-MM-DD)",
      "type": "string"
    },
    "part": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Restrict to a part, e.g. '75'"
    },
    "section": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Restrict to a section, e.g. '75.1'"
    }
  },
  "required": [
    "title",
    "date"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_get_source_xml(title, date, part, section, subtitle, ...)

Fetch the source regulation TEXT (XML) for a CFR node on a snapshot date. Pass a part or section to scope the request. Fetching an entire large title at once can time out on the eCFR side, so narrowing is strongly recommended. Returns the raw XML under ``content_xml``.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "title": {
      "description": "CFR title number (1-50)",
      "maximum": 50,
      "minimum": 1,
      "type": "integer"
    },
    "date": {
      "description": "Snapshot date (YYYY-MM-DD)",
      "type": "string"
    },
    "part": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Part to fetch, e.g. '75'. STRONGLY recommended: whole-title fetches can time out."
    },
    "section": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Section, e.g. '75.1'"
    },
    "subtitle": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Subtitle, e.g. 'A'"
    },
    "chapter": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Chapter, e.g. 'I'"
    },
    "subchapter": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Subchapter, e.g. 'B'"
    },
    "subpart": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Subpart, e.g. 'C'"
    },
    "appendix": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Appendix identifier"
    }
  },
  "required": [
    "title",
    "date"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_list_agencies

List all agencies that appear in the CFR, with their title/chapter references.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_list_all_corrections(title, date)

List CFR corrections, optionally filtered by title and/or effective date.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "title": {
      "anyOf": [
        {
          "maximum": 50,
          "minimum": 1,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Restrict to a CFR title number"
    },
    "date": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Corrections in effect on this date (YYYY-MM-DD)"
    }
  },
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_list_corrections_by_title(title)

List all corrections for a single CFR title.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "title": {
      "description": "CFR title number (1-50)",
      "maximum": 50,
      "minimum": 1,
      "type": "integer"
    }
  },
  "required": [
    "title"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_search_regulations(query, title, agency_slugs, date, per_page, ...)

Full-text search over federal regulations, returning matching sections with hierarchy.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Full-text search query over the CFR",
      "type": "string"
    },
    "title": {
      "anyOf": [
        {
          "maximum": 50,
          "minimum": 1,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Restrict to a CFR title number"
    },
    "agency_slugs": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Restrict to one or more agency slugs (from list_agencies)"
    },
    "date": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Search the CFR as of this date (YYYY-MM-DD)"
    },
    "per_page": {
      "default": 20,
      "description": "Results per page (max 20)",
      "maximum": 20,
      "minimum": 1,
      "type": "integer"
    },
    "page": {
      "default": 1,
      "description": "Page number",
      "minimum": 1,
      "type": "integer"
    },
    "order": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Sort order: 'relevance', 'hierarchy', 'newest_first', 'oldest_first'"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_get_search_count(query, title, agency_slugs, date)

Get the total number of CFR sections matching a search query.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Full-text search query over the CFR",
      "type": "string"
    },
    "title": {
      "anyOf": [
        {
          "maximum": 50,
          "minimum": 1,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Restrict to a title"
    },
    "agency_slugs": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Restrict to agency slugs"
    },
    "date": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "As-of date (YYYY-MM-DD)"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_get_search_summary(query, title, agency_slugs, date)

Get summary details (counts + metadata) for a CFR search query.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Full-text search query over the CFR",
      "type": "string"
    },
    "title": {
      "anyOf": [
        {
          "maximum": 50,
          "minimum": 1,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Restrict to a title"
    },
    "agency_slugs": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Restrict to agency slugs"
    },
    "date": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "As-of date (YYYY-MM-DD)"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_get_title_search_counts(query, date)

Get search result counts broken down by CFR title.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Full-text search query over the CFR",
      "type": "string"
    },
    "date": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "As-of date (YYYY-MM-DD)"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_get_daily_search_counts(query, date)

Get search result counts broken down by date (daily histogram).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Full-text search query over the CFR",
      "type": "string"
    },
    "date": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "As-of date (YYYY-MM-DD)"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_get_hierarchy_search_counts(query, date)

Get search result counts distributed across the CFR hierarchy.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Full-text search query over the CFR",
      "type": "string"
    },
    "date": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "As-of date (YYYY-MM-DD)"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}
🟢ecfr_get_search_suggestions(query)

Get search-term suggestions for a partial CFR query.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "Partial query to get suggestions for",
      "type": "string"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "additionalProperties": true
}

Community

Diesen Server bewerten

Nachweis

Aktuelle Beobachtungen

verifiziertVersion nicht aufgezeichnet34 Tools
verifiziertVersion nicht aufgezeichnet34 Tools
verifiziertVersion nicht aufgezeichnet34 Tools