CourtListener
MCP for CourtListener: US federal and state opinions, dockets, judges, plus eCFR regulations.
我该使用它吗
质量与安全性
A
发现（8）
- LOWTool 'citation_batch_lookup_citations' description lacks action verb在 citation_batch_lookup_citations 中
- LOWTool 'citation_batch_lookup_citations' name length outside 3-30 range在 citation_batch_lookup_citations 中
- LOWTool 'citation_verify_citation_format' name length outside 3-30 range在 citation_verify_citation_format 中
- LOWTool 'citation_parse_citation_with_citeurl' name length outside 3-30 range在 citation_parse_citation_with_citeurl 中
- LOWTool 'citation_extract_citations_from_text' name length outside 3-30 range在 citation_extract_citations_from_text 中
- LOWTool 'citation_enhanced_citation_lookup' name length outside 3-30 range在 citation_enhanced_citation_lookup 中
- LOWTool 'ecfr_get_hierarchy_search_counts' name length outside 3-30 range在 ecfr_get_hierarchy_search_counts 中
- LOWTool 'citation_parse_citation_with_citeurl' suggests web access but openWorldHint=false在 citation_parse_citation_with_citeurl 中
基于对工具定义和协议合规性的自动分析。
上下文开销
~6,085token 数（工具定义）
~1.5 KB典型响应大小
对注意力有显著影响（占 128k 上下文窗口的 4.75%）
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"courtlistener-mcp": {
"url": "https://courtlistener-mcp.vaquill.ai/mcp/"
}
}
}远程端点
https://courtlistener-mcp.vaquill.ai/mcp/streamable-http它能做什么
工具清单
工具（34）
🟢 只读🟡 写入🔴 删除⚪ 未知
🟢status
Check the status of the CourtListener MCP server. Returns: A dictionary containing server status, system metrics, and service information.
输入模式
{
"type": "object",
"properties": {},
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢search_opinions(q, court, case_name, judge, filed_after, ...)
Search case law opinion clusters with nested Opinion documents in CourtListener.
输入模式
{
"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
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢search_dockets(q, court, case_name, docket_number, date_filed_after, ...)
Search federal cases (dockets) from PACER in CourtListener.
输入模式
{
"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
}输出模式
{
"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.
输入模式
{
"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
}输出模式
{
"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.
输入模式
{
"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
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢search_audio(q, court, case_name, judge, argued_after, ...)
Search oral argument audio recordings in CourtListener.
输入模式
{
"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
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢search_people(q, name, position_type, political_affiliation, school, ...)
Search judges and legal professionals in the CourtListener database.
输入模式
{
"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
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_opinion(opinion_id)
Get a specific court opinion by ID from CourtListener.
输入模式
{
"type": "object",
"properties": {
"opinion_id": {
"description": "The opinion ID to retrieve",
"type": "string"
}
},
"required": [
"opinion_id"
],
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_docket(docket_id)
Get a specific court docket by ID from CourtListener.
输入模式
{
"type": "object",
"properties": {
"docket_id": {
"description": "The docket ID to retrieve",
"type": "string"
}
},
"required": [
"docket_id"
],
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_audio(audio_id)
Get oral argument audio information by ID from CourtListener.
输入模式
{
"type": "object",
"properties": {
"audio_id": {
"description": "The audio recording ID to retrieve",
"type": "string"
}
},
"required": [
"audio_id"
],
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_cluster(cluster_id)
Get an opinion cluster by ID from CourtListener.
输入模式
{
"type": "object",
"properties": {
"cluster_id": {
"description": "The opinion cluster ID to retrieve",
"type": "string"
}
},
"required": [
"cluster_id"
],
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_person(person_id)
Get judge or legal professional information by ID from CourtListener.
输入模式
{
"type": "object",
"properties": {
"person_id": {
"description": "The person (judge) ID to retrieve",
"type": "string"
}
},
"required": [
"person_id"
],
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_court(court_id)
Get court information by ID from CourtListener.
输入模式
{
"type": "object",
"properties": {
"court_id": {
"description": "The court ID to retrieve (e.g., 'scotus', 'ca9')",
"type": "string"
}
},
"required": [
"court_id"
],
"additionalProperties": false
}输出模式
{
"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
输入模式
{
"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
}输出模式
{
"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.
输入模式
{
"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
}输出模式
{
"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.
输入模式
{
"type": "object",
"properties": {
"citation": {
"description": "The citation to verify",
"type": "string"
}
},
"required": [
"citation"
],
"additionalProperties": false
}输出模式
{
"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
输入模式
{
"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
}输出模式
{
"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).
输入模式
{
"type": "object",
"properties": {
"text": {
"description": "Text containing legal citations to extract",
"type": "string"
}
},
"required": [
"text"
],
"additionalProperties": false
}输出模式
{
"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.
输入模式
{
"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
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢ecfr_list_titles
List all 50 CFR titles with their latest amended/issue dates and status.
输入模式
{
"type": "object",
"properties": {},
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_title_versions(title)
List the available content versions (issue dates) for one CFR title.
输入模式
{
"type": "object",
"properties": {
"title": {
"description": "CFR title number (1-50)",
"maximum": 50,
"minimum": 1,
"type": "integer"
}
},
"required": [
"title"
],
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_title_structure(title, date)
Get the full hierarchical structure (title -> section) of a CFR title on a date.
输入模式
{
"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
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_ancestry(title, date, part, section)
Get the ancestry chain (title -> ... -> node) for a CFR node on a date.
输入模式
{
"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
}输出模式
{
"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``.
输入模式
{
"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
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢ecfr_list_agencies
List all agencies that appear in the CFR, with their title/chapter references.
输入模式
{
"type": "object",
"properties": {},
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢ecfr_list_all_corrections(title, date)
List CFR corrections, optionally filtered by title and/or effective date.
输入模式
{
"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
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢ecfr_list_corrections_by_title(title)
List all corrections for a single CFR title.
输入模式
{
"type": "object",
"properties": {
"title": {
"description": "CFR title number (1-50)",
"maximum": 50,
"minimum": 1,
"type": "integer"
}
},
"required": [
"title"
],
"additionalProperties": false
}输出模式
{
"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.
输入模式
{
"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
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_search_count(query, title, agency_slugs, date)
Get the total number of CFR sections matching a search query.
输入模式
{
"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
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_search_summary(query, title, agency_slugs, date)
Get summary details (counts + metadata) for a CFR search query.
输入模式
{
"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
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_title_search_counts(query, date)
Get search result counts broken down by CFR title.
输入模式
{
"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
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_daily_search_counts(query, date)
Get search result counts broken down by date (daily histogram).
输入模式
{
"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
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_hierarchy_search_counts(query, date)
Get search result counts distributed across the CFR hierarchy.
输入模式
{
"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
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_search_suggestions(query)
Get search-term suggestions for a partial CFR query.
输入模式
{
"type": "object",
"properties": {
"query": {
"description": "Partial query to get suggestions for",
"type": "string"
}
},
"required": [
"query"
],
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}社区
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已验证未记录版本34 个工具
已验证未记录版本34 个工具
已验证未记录版本34 个工具