Skip to main content
Glama
77,409 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"Cargo Doc" matching MCP servers:

  • F
    license
    A
    quality
    C
    maintenance
    Provides a documentation search MCP tool (search_docs) that enables AI agents to retrieve relevant chunks from BDC documentation using semantic embeddings and keyword search, with filtering by document type and date.
    1
  • A
    license
    A
    quality
    C
    maintenance
    Enables searching and retrieving documents from a local folder to ground LLM answers in your files.
    2
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    An MCP server that provides AI assistants with real-time access to Inductive Automation Ignition documentation, enabling accurate answers on Ignition-specific topics by searching live docs and fetching full pages.
    3
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    MCP server that gives AI assistants direct access to live AVEVA PI System documentation, eliminating hallucination on PI-specific topics by fetching real answers from the official docs.
    3
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server for hybrid documentation search (keyword + vector) and RAG chat, enabling natural language queries with cited answers from indexed repositories.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.
    1
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables semantic and keyword search of Ceph documentation with version-aware, component-scoped indices, supporting command lookup and code example retrieval.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    A local-first semantic search server for documents, supporting PDFs, Office files, and text/markdown, enabling natural language search via the Model Context Protocol (MCP).
    1
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Indexes your repo's markdown into a canonical doc store, serving agents the single current doc per question via MCP to save tokens and keep all agents on the same source of truth.
    7
    AGPL 3.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI to efficiently analyze and extract structured data from complex documents, especially Excel files, by providing tools like section reading and field mapping to reduce token usage and improve success rates.
    2
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that integrates Dify knowledge bases, enabling AI assistants to retrieve and search content from Dify via tools like list datasets, get dataset details, and knowledge retrieval.
    10
    4
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    An MCP server that exposes grounded, source-attributed question-answering over a collection of PDF documents.
  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables semantic search and AI-powered Q&A over ingested GitHub documentation repositories via MCP tools.
  • -
    license
    Not graded
    quality
    B
    maintenance
    Enables MCP-based access to Adhoc documentation, providing search, content retrieval, and feedback issue creation with audience gating and leak protection.
  • F
    license
    Not graded
    quality
    B
    maintenance
    Local documentation search server for AI models using hybrid retrieval (phrase, keyword, vector). Provides MCP tools to search and fetch documentation from bundled or custom doc sets without any external API keys.
  • F
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that uses Docling to convert PDFs, Office documents, images, audio, and more into clean Markdown for AI processing and RAG pipelines.
    6