此 MCP 可以做什么
Searches and retrieves US court opinions, dockets, legal citations, judges, oral arguments, and federal regulations.
功能
工具
34
工具
citation_batch_lookup_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.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['citations'], 'properties': {'citations': {'type': 'array', 'items': {'type': 'string'}, 'maxItems': 100, 'minItems': 1, 'description': 'List of citations to look up (max 100)'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
citation_enhanced_citation_lookup
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.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['citation'], 'properties': {'citation': {'type': 'string', 'description': 'The citation to look up and analyze'}, 'include_courtlistener': {'type': 'boolean', 'default': True, 'description': 'Whether to also perform CourtListener API lookup'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
citation_extract_citations_from_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).
只读
输入模式
{'type': 'object', 'required': ['text'], 'properties': {'text': {'type': 'string', 'description': 'Text containing legal citations to extract'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
citation_lookup_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
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['citation'], 'properties': {'citation': {'type': 'string', 'description': "The citation to look up (e.g., '410 U.S. 113', '2023 WL 12345')"}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
citation_parse_citation_with_citeurl
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
只读
输入模式
{'type': 'object', 'required': ['citation'], 'properties': {'broad': {'type': 'boolean', 'default': True, 'description': 'Use broad matching for more flexible parsing'}, 'citation': {'type': 'string', 'description': "The citation to parse (e.g., '410 U.S. 113', '42 USC § 1988')"}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
citation_verify_citation_format
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.
只读
输入模式
{'type': 'object', 'required': ['citation'], 'properties': {'citation': {'type': 'string', 'description': 'The citation to verify'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
ecfr_get_ancestry
Get the ancestry chain (title -> ... -> node) for a CFR node on a date.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['title', 'date'], 'properties': {'date': {'type': 'string', 'description': 'Snapshot date (YYYY-MM-DD)'}, 'part': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Restrict to a part, e.g. '75'"}, 'title': {'type': 'integer', 'maximum': 50, 'minimum': 1, 'description': 'CFR title number (1-50)'}, 'section': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Restrict to a section, e.g. '75.1'"}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
ecfr_get_daily_search_counts
Get search result counts broken down by date (daily histogram).
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'date': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'As-of date (YYYY-MM-DD)'}, 'query': {'type': 'string', 'description': 'Full-text search query over the CFR'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
ecfr_get_hierarchy_search_counts
Get search result counts distributed across the CFR hierarchy.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'date': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'As-of date (YYYY-MM-DD)'}, 'query': {'type': 'string', 'description': 'Full-text search query over the CFR'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
ecfr_get_search_count
Get the total number of CFR sections matching a search query.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'date': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'As-of date (YYYY-MM-DD)'}, 'query': {'type': 'string', 'description': 'Full-text search query over the CFR'}, 'title': {'anyOf': [{'type': 'integer', 'maximum': 50, 'minimum': 1}, {'type': 'null'}], 'default': None, 'description': 'Restrict to a title'}, 'agency_slugs': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'default': None, 'description': 'Restrict to agency slugs'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
ecfr_get_search_suggestions
Get search-term suggestions for a partial CFR query.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'query': {'type': 'string', 'description': 'Partial query to get suggestions for'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
ecfr_get_search_summary
Get summary details (counts + metadata) for a CFR search query.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'date': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'As-of date (YYYY-MM-DD)'}, 'query': {'type': 'string', 'description': 'Full-text search query over the CFR'}, 'title': {'anyOf': [{'type': 'integer', 'maximum': 50, 'minimum': 1}, {'type': 'null'}], 'default': None, 'description': 'Restrict to a title'}, 'agency_slugs': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'default': None, 'description': 'Restrict to agency slugs'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
ecfr_get_source_xml
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``.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['title', 'date'], 'properties': {'date': {'type': 'string', 'description': 'Snapshot date (YYYY-MM-DD)'}, 'part': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Part to fetch, e.g. '75'. STRONGLY recommended: whole-title fetches can time out."}, 'title': {'type': 'integer', 'maximum': 50, 'minimum': 1, 'description': 'CFR title number (1-50)'}, 'chapter': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Chapter, e.g. 'I'"}, 'section': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Section, e.g. '75.1'"}, 'subpart': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Subpart, e.g. 'C'"}, 'appendix': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Appendix identifier'}, 'subtitle': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Subtitle, e.g. 'A'"}, 'subchapter': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Subchapter, e.g. 'B'"}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
ecfr_get_title_search_counts
Get search result counts broken down by CFR title.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'date': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'As-of date (YYYY-MM-DD)'}, 'query': {'type': 'string', 'description': 'Full-text search query over the CFR'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
ecfr_get_title_structure
Get the full hierarchical structure (title -> section) of a CFR title on a date.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['title', 'date'], 'properties': {'date': {'type': 'string', 'description': 'Snapshot date (YYYY-MM-DD)'}, 'title': {'type': 'integer', 'maximum': 50, 'minimum': 1, 'description': 'CFR title number (1-50)'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
ecfr_get_title_versions
List the available content versions (issue dates) for one CFR title.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['title'], 'properties': {'title': {'type': 'integer', 'maximum': 50, 'minimum': 1, 'description': 'CFR title number (1-50)'}}, '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.
只读
可访问外部资源
输入模式
{'type': 'object', 'properties': {}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
ecfr_list_all_corrections
List CFR corrections, optionally filtered by title and/or effective date.
只读
可访问外部资源
输入模式
{'type': 'object', 'properties': {'date': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Corrections in effect on this date (YYYY-MM-DD)'}, 'title': {'anyOf': [{'type': 'integer', 'maximum': 50, 'minimum': 1}, {'type': 'null'}], 'default': None, 'description': 'Restrict to a CFR title number'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
ecfr_list_corrections_by_title
List all corrections for a single CFR title.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['title'], 'properties': {'title': {'type': 'integer', 'maximum': 50, 'minimum': 1, 'description': 'CFR title number (1-50)'}}, '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.
只读
可访问外部资源
输入模式
{'type': 'object', 'properties': {}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
ecfr_search_regulations
Full-text search over federal regulations, returning matching sections with hierarchy.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['query'], 'properties': {'date': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Search the CFR as of this date (YYYY-MM-DD)'}, 'page': {'type': 'integer', 'default': 1, 'minimum': 1, 'description': 'Page number'}, 'order': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Sort order: 'relevance', 'hierarchy', 'newest_first', 'oldest_first'"}, 'query': {'type': 'string', 'description': 'Full-text search query over the CFR'}, 'title': {'anyOf': [{'type': 'integer', 'maximum': 50, 'minimum': 1}, {'type': 'null'}], 'default': None, 'description': 'Restrict to a CFR title number'}, 'per_page': {'type': 'integer', 'default': 20, 'maximum': 20, 'minimum': 1, 'description': 'Results per page (max 20)'}, 'agency_slugs': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'default': None, 'description': 'Restrict to one or more agency slugs (from list_agencies)'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
get_audio
Get oral argument audio information by ID from CourtListener.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['audio_id'], 'properties': {'audio_id': {'type': 'string', 'description': 'The audio recording ID to retrieve'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
get_cluster
Get an opinion cluster by ID from CourtListener.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['cluster_id'], 'properties': {'cluster_id': {'type': 'string', 'description': 'The opinion cluster ID to retrieve'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
get_court
Get court information by ID from CourtListener.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['court_id'], 'properties': {'court_id': {'type': 'string', 'description': "The court ID to retrieve (e.g., 'scotus', 'ca9')"}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
get_docket
Get a specific court docket by ID from CourtListener.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['docket_id'], 'properties': {'docket_id': {'type': 'string', 'description': 'The docket ID to retrieve'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
get_opinion
Get a specific court opinion by ID from CourtListener.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['opinion_id'], 'properties': {'opinion_id': {'type': 'string', 'description': 'The opinion ID to retrieve'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
get_person
Get judge or legal professional information by ID from CourtListener.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['person_id'], 'properties': {'person_id': {'type': 'string', 'description': 'The person (judge) ID to retrieve'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
search_audio
Search oral argument audio recordings in CourtListener.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['q'], 'properties': {'q': {'type': 'string', 'description': 'Search query for oral argument audio'}, 'court': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Court ID filter (e.g., 'scotus', 'ca9')"}, 'judge': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter by judge name'}, 'limit': {'type': 'integer', 'default': 20, 'maximum': 100, 'minimum': 1, 'description': 'Max results from this page (upper bound; CL pages ~20)'}, 'cursor': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Pagination cursor from a prior response's next_cursor"}, 'order_by': {'type': 'string', 'default': 'score desc', 'description': "Sort by 'score desc', 'dateArgued desc', or 'dateArgued asc'"}, 'case_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter by case name'}, 'argued_after': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter arguments after this date (YYYY-MM-DD)'}, 'argued_before': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter arguments before this date (YYYY-MM-DD)'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
search_dockets
Search federal cases (dockets) from PACER in CourtListener.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['q'], 'properties': {'q': {'type': 'string', 'description': 'Search query for docket text'}, 'court': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Court ID filter (e.g., 'scotus', 'ca9')"}, 'limit': {'type': 'integer', 'default': 20, 'maximum': 100, 'minimum': 1, 'description': 'Max results from this page (upper bound; CL pages ~20)'}, 'cursor': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Pagination cursor from a prior response's next_cursor"}, 'order_by': {'type': 'string', 'default': 'score desc', 'description': "Sort by 'score desc', 'dateFiled desc', or 'dateFiled asc'"}, 'case_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter by case name'}, 'party_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter by party name'}, 'docket_number': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Specific docket number to search for'}, 'date_filed_after': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter dockets filed after this date (YYYY-MM-DD)'}, 'date_filed_before': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter dockets filed before this date (YYYY-MM-DD)'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
search_dockets_with_documents
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.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['q'], 'properties': {'q': {'type': 'string', 'description': 'Search query for federal cases'}, 'court': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Court ID filter (e.g., 'scotus', 'ca9')"}, 'limit': {'type': 'integer', 'default': 20, 'maximum': 100, 'minimum': 1, 'description': 'Max results from this page (upper bound; CL pages ~20)'}, 'cursor': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Pagination cursor from a prior response's next_cursor"}, 'order_by': {'type': 'string', 'default': 'score desc', 'description': "Sort by 'score desc', 'dateFiled desc', or 'dateFiled asc'"}, 'case_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter by case name'}, 'party_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter by party name'}, 'docket_number': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Specific docket number to search for'}, 'date_filed_after': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter dockets filed after this date (YYYY-MM-DD)'}, 'date_filed_before': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter dockets filed before this date (YYYY-MM-DD)'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
search_opinions
Search case law opinion clusters with nested Opinion documents in CourtListener.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['q'], 'properties': {'q': {'type': 'string', 'description': 'Search query for full text of opinions'}, 'court': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Court ID filter (e.g., 'scotus', 'ca9')"}, 'judge': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter by judge name'}, 'limit': {'type': 'integer', 'default': 20, 'maximum': 100, 'minimum': 1, 'description': 'Max results from this page (upper bound; CL pages ~20)'}, 'cursor': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Pagination cursor from a prior response's next_cursor"}, 'cited_gt': {'anyOf': [{'type': 'integer', 'minimum': 0}, {'type': 'null'}], 'default': None, 'description': 'Minimum number of times opinion has been cited'}, 'cited_lt': {'anyOf': [{'type': 'integer', 'minimum': 0}, {'type': 'null'}], 'default': None, 'description': 'Maximum number of times opinion has been cited'}, 'order_by': {'type': 'string', 'default': 'score desc', 'description': "Sort by 'score desc', 'dateFiled desc', or 'dateFiled asc'"}, 'case_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter by case name'}, 'filed_after': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Only show opinions filed after this date (YYYY-MM-DD)'}, 'filed_before': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Only show opinions filed before this date (YYYY-MM-DD)'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
search_people
Search judges and legal professionals in the CourtListener database.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['q'], 'properties': {'q': {'type': 'string', 'description': 'Search query for judges and legal professionals'}, 'name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Filter by person's name"}, 'limit': {'type': 'integer', 'default': 20, 'maximum': 100, 'minimum': 1, 'description': 'Max results from this page (upper bound; CL pages ~20)'}, 'cursor': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Pagination cursor from a prior response's next_cursor"}, 'school': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter by school attended'}, 'order_by': {'type': 'string', 'default': 'score desc', 'description': "Sort by 'score desc' or 'name asc'"}, 'appointed_by': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter by appointing authority'}, 'position_type': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Filter by position type (e.g., 'jud' for judge)"}, 'selection_method': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter by selection method'}, 'political_affiliation': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter by political affiliation'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
search_recap_documents
Search federal filing documents from PACER in the RECAP archive.
只读
可访问外部资源
输入模式
{'type': 'object', 'required': ['q'], 'properties': {'q': {'type': 'string', 'description': 'Search query for RECAP filing documents'}, 'court': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Court ID filter (e.g., 'scotus', 'ca9')"}, 'limit': {'type': 'integer', 'default': 20, 'maximum': 100, 'minimum': 1, 'description': 'Max results from this page (upper bound; CL pages ~20)'}, 'cursor': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': "Pagination cursor from a prior response's next_cursor"}, 'order_by': {'type': 'string', 'default': 'score desc', 'description': "Sort by 'score desc', 'dateFiled desc', or 'dateFiled asc'"}, 'case_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter by case name'}, 'party_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter by party name'}, 'filed_after': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter documents filed after this date (YYYY-MM-DD)'}, 'filed_before': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Filter documents filed before this date (YYYY-MM-DD)'}, 'docket_number': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Specific docket number to search for'}, 'document_number': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Specific document number to search for'}, 'attachment_number': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Specific attachment number to search for'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
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}
历史
近期工具变更
已添加
ecfr_get_search_suggestions
2026年9月17日 12:53
已添加
ecfr_get_hierarchy_search_counts
2026年9月17日 12:53
已添加
ecfr_get_daily_search_counts
2026年9月17日 12:53
已添加
ecfr_get_title_search_counts
2026年9月17日 12:53
已添加
ecfr_get_search_summary
2026年9月17日 12:53
已添加
ecfr_get_search_count
2026年9月17日 12:53
已添加
ecfr_search_regulations
2026年9月17日 12:53
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ecfr_list_corrections_by_title
2026年9月17日 12:53
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ecfr_list_all_corrections
2026年9月17日 12:53
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ecfr_list_agencies
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已添加
ecfr_get_source_xml
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ecfr_get_ancestry
2026年9月17日 12:53
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ecfr_get_title_structure
2026年9月17日 12:53
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ecfr_get_title_versions
2026年9月17日 12:53
已添加
ecfr_list_titles
2026年9月17日 12:53
已添加
citation_enhanced_citation_lookup
2026年9月17日 12:53
已添加
citation_extract_citations_from_text
2026年9月17日 12:53
已添加
citation_parse_citation_with_citeurl
2026年9月17日 12:53
已添加
citation_verify_citation_format
2026年9月17日 12:53
已添加
citation_batch_lookup_citations
2026年9月17日 12:53
已添加
citation_lookup_citation
2026年9月17日 12:53
已添加
get_court
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get_person
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已添加
get_cluster
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已添加
get_audio
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已添加
get_docket
2026年9月17日 12:53
已添加
get_opinion
2026年9月17日 12:53
已添加
search_people
2026年9月17日 12:53
已添加
search_audio
2026年9月17日 12:53
已添加
search_recap_documents
2026年9月17日 12:53
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