CourtListener
MCP for CourtListener: US federal and state opinions, dockets, judges, plus eCFR regulations.
사용해야 할까요
품질 및 안전성
발견 사항 (8)
- LOWcitation_batch_lookup_citations에서
- LOWcitation_batch_lookup_citations에서
- LOWcitation_verify_citation_format에서
- LOWcitation_parse_citation_with_citeurl에서
- LOWcitation_extract_citations_from_text에서
- LOWcitation_enhanced_citation_lookup에서
- LOWecfr_get_hierarchy_search_counts에서
- LOWcitation_parse_citation_with_citeurl에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"courtlistener-mcp": {
"url": "https://courtlistener-mcp.vaquill.ai/mcp/"
}
}
}원격 엔드포인트
https://courtlistener-mcp.vaquill.ai/mcp/streamable-http할 수 있는 일
도구 목록
도구 (34)
🟢status
Check the status of the CourtListener MCP server. Returns: A dictionary containing server status, system metrics, and service information.
입력 스키마
{
"type": "object",
"properties": {},
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢search_opinions(q, court, case_name, judge, filed_after, ...)
Search case law opinion clusters with nested Opinion documents in CourtListener.
입력 스키마
{
"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
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢search_dockets(q, court, case_name, docket_number, date_filed_after, ...)
Search federal cases (dockets) from PACER in CourtListener.
입력 스키마
{
"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
}출력 스키마
{
"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.
입력 스키마
{
"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
}출력 스키마
{
"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.
입력 스키마
{
"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
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢search_audio(q, court, case_name, judge, argued_after, ...)
Search oral argument audio recordings in CourtListener.
입력 스키마
{
"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
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢search_people(q, name, position_type, political_affiliation, school, ...)
Search judges and legal professionals in the CourtListener database.
입력 스키마
{
"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
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢get_opinion(opinion_id)
Get a specific court opinion by ID from CourtListener.
입력 스키마
{
"type": "object",
"properties": {
"opinion_id": {
"description": "The opinion ID to retrieve",
"type": "string"
}
},
"required": [
"opinion_id"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢get_docket(docket_id)
Get a specific court docket by ID from CourtListener.
입력 스키마
{
"type": "object",
"properties": {
"docket_id": {
"description": "The docket ID to retrieve",
"type": "string"
}
},
"required": [
"docket_id"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢get_audio(audio_id)
Get oral argument audio information by ID from CourtListener.
입력 스키마
{
"type": "object",
"properties": {
"audio_id": {
"description": "The audio recording ID to retrieve",
"type": "string"
}
},
"required": [
"audio_id"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢get_cluster(cluster_id)
Get an opinion cluster by ID from CourtListener.
입력 스키마
{
"type": "object",
"properties": {
"cluster_id": {
"description": "The opinion cluster ID to retrieve",
"type": "string"
}
},
"required": [
"cluster_id"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢get_person(person_id)
Get judge or legal professional information by ID from CourtListener.
입력 스키마
{
"type": "object",
"properties": {
"person_id": {
"description": "The person (judge) ID to retrieve",
"type": "string"
}
},
"required": [
"person_id"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢get_court(court_id)
Get court information by ID from CourtListener.
입력 스키마
{
"type": "object",
"properties": {
"court_id": {
"description": "The court ID to retrieve (e.g., 'scotus', 'ca9')",
"type": "string"
}
},
"required": [
"court_id"
],
"additionalProperties": false
}출력 스키마
{
"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
입력 스키마
{
"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
}출력 스키마
{
"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.
입력 스키마
{
"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
}출력 스키마
{
"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.
입력 스키마
{
"type": "object",
"properties": {
"citation": {
"description": "The citation to verify",
"type": "string"
}
},
"required": [
"citation"
],
"additionalProperties": false
}출력 스키마
{
"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
입력 스키마
{
"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
}출력 스키마
{
"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).
입력 스키마
{
"type": "object",
"properties": {
"text": {
"description": "Text containing legal citations to extract",
"type": "string"
}
},
"required": [
"text"
],
"additionalProperties": false
}출력 스키마
{
"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.
입력 스키마
{
"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
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢ecfr_list_titles
List all 50 CFR titles with their latest amended/issue dates and status.
입력 스키마
{
"type": "object",
"properties": {},
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_title_versions(title)
List the available content versions (issue dates) for one CFR title.
입력 스키마
{
"type": "object",
"properties": {
"title": {
"description": "CFR title number (1-50)",
"maximum": 50,
"minimum": 1,
"type": "integer"
}
},
"required": [
"title"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_title_structure(title, date)
Get the full hierarchical structure (title -> section) of a CFR title on a date.
입력 스키마
{
"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
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_ancestry(title, date, part, section)
Get the ancestry chain (title -> ... -> node) for a CFR node on a date.
입력 스키마
{
"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
}출력 스키마
{
"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``.
입력 스키마
{
"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
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢ecfr_list_agencies
List all agencies that appear in the CFR, with their title/chapter references.
입력 스키마
{
"type": "object",
"properties": {},
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢ecfr_list_all_corrections(title, date)
List CFR corrections, optionally filtered by title and/or effective date.
입력 스키마
{
"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
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢ecfr_list_corrections_by_title(title)
List all corrections for a single CFR title.
입력 스키마
{
"type": "object",
"properties": {
"title": {
"description": "CFR title number (1-50)",
"maximum": 50,
"minimum": 1,
"type": "integer"
}
},
"required": [
"title"
],
"additionalProperties": false
}출력 스키마
{
"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.
입력 스키마
{
"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
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_search_count(query, title, agency_slugs, date)
Get the total number of CFR sections matching a search query.
입력 스키마
{
"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
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_search_summary(query, title, agency_slugs, date)
Get summary details (counts + metadata) for a CFR search query.
입력 스키마
{
"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
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_title_search_counts(query, date)
Get search result counts broken down by CFR title.
입력 스키마
{
"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
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_daily_search_counts(query, date)
Get search result counts broken down by date (daily histogram).
입력 스키마
{
"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
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_hierarchy_search_counts(query, date)
Get search result counts distributed across the CFR hierarchy.
입력 스키마
{
"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
}출력 스키마
{
"type": "object",
"additionalProperties": true
}🟢ecfr_get_search_suggestions(query)
Get search-term suggestions for a partial CFR query.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"description": "Partial query to get suggestions for",
"type": "string"
}
},
"required": [
"query"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"additionalProperties": true
}커뮤니티
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