Skip to main content
Glama
dedalus-labs

Dedalus MCP Documentation Server

Official
by dedalus-labs
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to Dedalus MCP Documentation Server

No user-submitted related servers found.

    Related Servers

    • RAG Docs MCP Server

      gorizond
      A
      license
      Not graded
      quality
      A
      maintenance
      An MCP server that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
      329 npm
      MIT

    • api-docs-mcp

      akshaysadanand
      A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server that gives AI coding assistants access to up-to-date API documentation via RAG by crawling documentation sites, indexing them into a vector store, and enabling semantic queries.
      MIT

    • live-docs-mcp

      Jubast
      F
      license
      B
      quality
      B
      maintenance
      A local-only MCP server that provides AI coding agents with up-to-date documentation for specific libraries or tools during feature implementation, including search tools, multi-version support, and user-defined library entries.
      2
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: analyze performs analysis tasks, ask answers questions, index rebuilds the index, lists files, and search does keyword matching. No overlap in functionality.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern (e.g., analyze_docs, ask_docs) using snake_case, making naming predictable and clear.

    Tool Count5/5

    With 5 tools covering the core documentation operations (list, search, ask, analyze, index), the count is well-scoped for a documentation server without being too few or too many.

    Completeness4/5

    The tool surface covers major use cases (searching, querying, analyzing, indexing), but lacks a direct 'get_doc' for raw content retrieval and does not support individual document management (add/delete). Minor gaps that agents can work around.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources