MCP server that provides a citation-first memory layer for AI agents, enabling verified search across Git-backed repositories and optional conversation memory. It exposes tools for doctor, sync, search, get, init, and ingest, returning JSON results with verified citations or abstain status.
Enables AI agents to search, read, and traverse a local knowledge base of Markdown files using full-text search and relationship graph, reducing token usage.
Provides intelligent codebase analysis, dependency scanning, architecture detection, security vulnerability scanning, and automatic documentation generation for modern development teams.
Enables high-level GitHub workflows such as cloning, branching, committing, pushing, creating pull requests and issues, all verified step-by-step via git and gh CLI.
An MCP server that turns any public GitHub repository into a PDF report containing a codebase summary, the most recent commits, and suggested improvements — generated locally by an Ollama model.
An MCP server that enables AI assistants to interact with GitHub via a fine-grained personal access token — pushing commits, managing branches, opening and merging PRs, creating issues, and reading repositories. It runs locally with no telemetry and supports a read-only mode.
Local MCP server for safe GitHub developer workflows. Enables pulling main, creating feature branches, pushing them, and opening ready-for-review pull requests via tools like github_create_feature_branch and github_create_pull_request.
An MCP server that caches your GitHub starred repositories in a local SQLite database and lets you search, list, and retrieve details about them through any MCP client (Claude Desktop, Cursor, VS Code, etc.), with automatic freshness checks via GitHub's ETag mechanism.
Enables Claude to access and manage GitHub repositories dynamically at runtime, including private repos, with tools for browsing files, searching code, and viewing commits, pull requests, and issues.
MCP server for GitHub Copilot that allows querying any Copilot model programmatically using existing Copilot CLI credentials, with support for file attachments and model discovery.