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Alternatives to US Code MCP

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants and agents to search a legal document collection via hybrid BM25+dense retrieval, read articles with context, and generate full or short citations. It also exposes whole acts as Markdown resources, provides a citation-answering prompt, and supports stdio and streamable HTTP transports.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables retrieving full statutory text of United States Code sections by citation, listing all 54 titles and their subjects, and searching section headings by subject.
      354 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables 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".
      331 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables natural language search and retrieval of Korean laws, precedents, administrative rules, and legal terms, with deep legal chain analysis and full-text access. Supports stdio and streamable-http transports for local and remote deployment.
      10
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI clients to search and retrieve official legal documents from the Ministry of Government Legislation's Open API — current and historical statutes, administrative rules, local ordinances, court precedents, constitutional decisions, and legal interpretations — including article-level text lookup. Runs locally over stdio with paginated retrieval of long responses and no external database or web UI required.
      3
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables searching and reading the US Code of Federal Regulations through tools that return excerpts, full text, legal citations, and linked source URLs, with read-only, stateless access.
      3
      MIT

    TDQS

    A4.4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: list_titles enumerates top-level titles, search_uscode finds sections or text, and get_section retrieves full section text from a canonical path. The descriptions explicitly guide the search-then-retrieve workflow, so an agent should not confuse them.

    Naming Consistency4/5

    All names are snake_case and use verb_noun structure. The only minor deviation is search_uscode using the site/domain as the object rather than a resource name like sections, but the pattern remains predictable.

    Tool Count5/5

    Three tools are well-scoped for a read-only U.S. Code retrieval server: enumerate titles, search, and fetch a section. Each tool earns its place without redundant operations.

    Completeness4/5

    The surface covers the core legal research workflow of finding and retrieving statutory text. Minor gaps exist around browsing title structure or navigating sections hierarchically, but agents can work around them using search and canonical paths.

    Maintenance

    ActivityNo data
    ResponsivenessOutdated data