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669,390 tools. Updated 2026-10-17 09:50

"A GitHub server implementing the Model Context Protocol (MCP)" matching MCP tools:

  • Sync open GitHub issues into the Delimit ledger as context. Read-only operation that adds external issue details for cross-referencing without modifying GitHub.
    MIT
  • Find open-source GitHub repositories that implement or reference a specific arXiv paper. Provide the arXiv ID to locate code implementations.
    MIT
  • Search GitHub for existing open-source solutions before implementing a feature. Returns ranked repositories with stars and descriptions so you can find reusable code.
    MIT
  • Extracts and structures git diff data, providing context and analysis instructions for AI models via the Model Context Protocol in Lucidity MCP.
    Apache 2.0
  • Access comprehensive guides and documentation for Model Context Protocol development, covering topics like getting started, building servers/clients, core concepts, and best practices.
    MIT

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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 Model Context Protocol documentation on topics like overview, resources, tools, and setup to build MCP servers correctly.
    MIT
  • Retrieve separation principles for presenting model explanations alongside business context to combine deterministic outputs with AI-interpreted guidance.
    -
  • Scaffold a complete Model Context Protocol (MCP) server including tools, resources, prompts, server.py, pyproject, smoke-test client, and README from a plain-English request.
    MIT
  • Transfer an active agent task to a different AI model when the current executor is blocked or cross-model review is needed, passing context and notes so the next model can continue.
    MIT
  • Exports the AI Context file for a given master, combining network state and CLI commands for language model planning.
    Apache 2.0
  • Estimate whether prompt tokens fit model context, answer headroom, VRAM residency, and cache reuse before sending. Use when prompt grows or before changing context or model.
    Apache 2.0
  • Verify if a newer DM20 Protocol version exists by comparing installed and GitHub releases, providing update status and upgrade instructions when needed.
    MIT
  • Retrieve detailed metadata for any AI model, including family, parameter size, quantization, and context length. Optionally specify a provider to filter results.
    Creative Commons Attribution Non Commercial No Derivatives 4.0 International
  • Restore original identifiers from a protected session and write them to a file, returning a receipt to keep sensitive data out of the model context.
    MIT No Attribution
  • Capture the current page or screen as a base64-encoded image, resized and compressed to fit model context limits. Use it to inspect visual state during automation.
    MIT