Skip to main content
Glama
308,872 tools. Last updated 2026-07-28 06:14

"Learning to Read and Use GitHub Project Documentation" matching MCP tools:

  • Access Tenzir documentation to understand TQL operators, functions, and tutorials before implementing cybersecurity data workflows.
    Apache 2.0
  • Search Pinoox documentation by keyword and language to retrieve matching doc paths and GitHub URLs.
    MIT
  • Search Jina AI's official blog for articles about AI, machine learning, neural search, embeddings, and Jina products to find documentation, tutorials, announcements, and technical deep-dives.
    Apache 2.0
  • List all projects tracked in Alcove's documentation repository. Use this to verify project existence before querying documentation.
    Apache 2.0
  • Read exact line ranges from indexed project documentation. Retrieve precise wording after search or context queries without modifying project state.
    MIT

Matching MCP Servers

Matching MCP Connectors

  • GitHub MCP — wraps the GitHub public REST API (no auth required for public endpoints)

  • Manage repositories, users, releases, and automate GitHub workflows

  • Retrieve compact project documentation and retrieval statistics without altering project state. Returns counts, token summaries, and optional file samples or index health.
    MIT
  • List all documentation pages for a project, grouped by section. Use this to review existing documentation before creating or updating pages.
    MIT
  • List all promoted learning rules (lessons) for the current project, sorted by frequency. Use to browse the full catalog of encoded heuristics.
    MIT
  • Use semantic similarity to query HoloViz and custom project documentation, returning relevant snippets or full documents.
    BSD 3-Clause
  • Retrieve DevOps documentation templates, code standards, and best practices from GitHub to generate documentation and apply development standards.
    MIT
  • Search Jina AI's official blog and news articles to find documentation, tutorials, product announcements, and technical content about AI, machine learning, neural search, and embeddings.
    Apache 2.0
  • Search for documentation across public web, GitHub, or private resources like repos and PDFs. Use queries with programming language and framework details to retrieve relevant documentation efficiently.
    MIT