michigan-law-mcp
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents to retrieve Michigan Compiled Laws statutes by citation from the official state source without requiring an API key.456 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to pull the full text of any state statute by citation, and to search official section catchlines by topic or keyword to find matching citations. Keyless, and handles citation suffixes such as "12.1-16-01" or "47-16-13.1".397 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables Claude to query a locally imported collection of PDF, TXT, and MD files via SQLite FTS5 full-text search (including Chinese), and to browse notebooks, source files, and individual passages. Every search result carries traceable citations such as filename, page number, line number, or timestamp.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to retrieve the full current text of any state statute section by citation, along with its amendment history, repealed/transferred status, neighboring sections, and any pending future-effective version. It also performs live full-text keyword search across actual section body text to find statutes by topic.270 npmMIT
- AlicenseAqualityBmaintenanceServes 484 Claude Code skills and 17 global rules as MCP tools, enabling skill and rule retrieval, keyword search, and project-level rule discovery for any Claude client.118 npm2MIT
- AlicenseNot gradedqualityBmaintenanceEnables Claude to answer plain-English questions by listing and describing database tables, running read-only SQL queries, and searching a folder of policy documents.MIT
TDQS
Scored across 7 tools
Each tool targets a clearly distinct operation: public act metadata, provision full text by citation, full-text search, chapter listing, citation graph traversal, change tracking, and data health. There is no overlap between lookup_public_act and get_document, and search is clearly scoped to stored provisions. An agent can reliably select the right tool for each task.
Most names follow a predictable verb_noun pattern (lookup_public_act, get_document, get_chapter_outline, get_cross_references, list_changes). The bare verb 'search' and the noun phrase 'data_status' are minor deviations but remain readable and unambiguous in context.
Seven tools are well-scoped for a legal reference server: retrieval, search, navigation, cross-referencing, change tracking, and status reporting. Each tool earns its place with no redundant capabilities. The count sits comfortably in the typical 3-15 range.
The surface covers core read-only legal research workflows: lookup by citation, full-text retrieval, search, chapter outlines, citation following, change history, and data currency. Minor gaps exist—no direct way to list public acts by year or fetch a public act's full text—but agents can work around these using search and citation references.