"Trending GitHub repositories" matching MCP servers:

Enables AI agents to analyze employee GitHub activity including PRs, code reviews, comments, and contributions across repositories with time-range filtering for performance assessment and impact analysis.

A Model Context Protocol server that enables AI assistants like Claude to interact with GitHub repositories, issues, and pull requests.

A Model Context Protocol server that enables LLM agents to manage GitHub repositories, issues, pull requests, branches, files, and releases through a standardized interface.

Enables Large Language Models to analyze GitHub repositories in real-time, providing tools for retrieving repository information, analyzing issues, accessing documentation, and visualizing activity.

Enables discovery and installation of agent skills from curated GitHub repositories, allowing users to search large collections and inspect skill contents directly. It supports downloading skills locally and provides grounded scaffolds for creating new skills based on existing patterns.

Enables agents to discover, read, and use reusable skills stored in public GitHub repositories.

Search, install, and manage AI agent skills (SKILL.md files) from GitHub repositories. Features workspace analysis for personalized recommendations and supports 140+ pre-indexed skills.

MCP server for discovering and installing AI agent skills from agentskill.sh. Search skills across platforms, browse trending skills, and install them with built-in security scanning.

Delivers the LXAgents shared agent instruction set via MCP prompts and resources. It includes read-only tools for setting up and checking agent instructions in repositories.

A unified gateway and dashboard that aggregates multiple MCP servers into a single endpoint for streamlined management by AI clients. It features a centralized YAML configuration, a web-based monitoring dashboard, and hot-reload support for managing filesystem, GitHub, and database tools.

A universal AI API orchestrator that connects to 17+ services (Stripe, Slack, GitHub, etc.) and enables natural language task execution, multi-step automation, and complex orchestration across them without coding.

MCP server that exposes independent OpenCode AI coding agents to upstream agents with multi-workspace concurrent routing, enabling session management and message exchange across multiple repositories via stdio JSON-RPC.

An MCP server that generates skill manifests from GitHub skills directories and provides tools to recommend and download AI agent skills.

Enables enterprise AI agents to discover and invoke MCP tools, resources, and prompts across GitHub, ITSM, and business systems through a policy-controlled gateway with human approval and auditability.

Provides MCP tools for AI coding agents to coordinate on shared repositories, enabling task claiming, conflict detection, and plan management in real-time.

Hosts multiple Model Context Protocol servers (fetch, memory, GitHub, Postgres, utils) behind a single authenticated gateway, giving AI agents instant access via one Bearer token.

Enables secure enterprise AI agents to access internal tools like GitHub, Gmail, Calendar, file systems, databases, and knowledge bases through the Model Context Protocol, with built-in security, audit, and observability.

A production-ready Python library for building MCP servers with agent orchestration and domain-specific presets for platforms like GitHub, Slack, and Notion.

Enables AI assistants to manage remote SSPCloud/Onyxia compute workspaces: push repositories, run stateful Python/bash via Jupyter kernels, switch GPU slots, expose services via HTTPS, and retrieve artifacts.

Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.