770 boosters for "MCP" — AI-graded, open source, ready to install
This MCP server enables extraction of text from documents, PDF manipulation, and OCR on images, making it useful for developers building document processing workflows in Claude Desktop, Claude Code, and Cursor.
An MCP server that enables Claude to search French train schedules and information via the Navitia API, benefiting travelers and developers building travel applications.
An MCP server that enables Claude to interact with GitHub repositories, issues, and pull requests through the Octokit API. Developers building AI agents or automation tools that need GitHub integration will find this particularly valuable.
Devlog MCP Server enables AI assistants like Claude to integrate with Devlog for knowledge management and development tracking via the Model Context Protocol. It's useful for developers who want to leverage AI for accessing and managing their development logs.
Catalyst is an AI-powered development environment that integrates MCP servers with BMAD methodology to enhance Claude-based development workflows. It benefits developers seeking to streamline AI-assisted coding and local development setups.
An MCP server that enables semantic code search and API reference lookup for the Immersive Web SDK (WebXR) using RAG with vector embeddings, allowing Claude to intelligently retrieve and reference XR development resources.
A safe, high-signal web browsing MCP server that enables Claude to fetch and extract content from web pages using Playwright, ideal for LLM agents needing reliable real-time information. Developers building Claude integrations that require web access will find this particularly valuable.
Heuristic scoring (no AI key configured).
Claude Codemem is a local code indexing and semantic search tool that integrates with Claude Code via MCP, enabling developers to quickly find and understand relevant code across large codebases. It benefits developers working on complex projects who need fast, context-aware code retrieval without relying on external APIs.
Arbiter is a domain-agnostic knowledge hub MCP server that integrates Discord bot capabilities, AI agent functionality, and vector search for building intelligent knowledge management systems. It benefits developers building AI-powered applications that need flexible knowledge retrieval and Discord community integration.
A specialized agent that intelligently researches, validates, and categorizes knowledge sources for AI systems, determining optimal storage methods (URL references, local extracts, or embeddings) using parallel web scraping. Ideal for developers building knowledge-intensive agent systems who need automated source curation and validation.
A playground MCP server for testing different transport mechanisms (STDIO and SSE) with the Model Context Protocol. Useful for MCP developers and contributors experimenting with transport layer implementations.
mcp-orchestrator automates the discovery, deployment, and integration of MCP servers for AI agents, with Docker-first containerization and fallback native deployment options. It's essential for developers building complex agent systems who need reliable infrastructure management.
This MCP server integrates Jenkins CI/CD pipelines with Claude, enabling AI-assisted automation of build, test, and deployment workflows. It benefits DevOps engineers and developers who want to leverage AI for Jenkins management and troubleshooting.
An expert agent for building production-ready MCP servers and clients in Go, helping developers leverage the Model Context Protocol SDK with deep architectural knowledge and best practices.
Cursor Rules for managing task lists in Markdown to track project progress during development. Helps developers and AI assistants maintain structured task tracking across features.
Cursor Rules for gaowei-meeting that enforces interactive feedback loops via MCP during development sessions, ensuring continuous user input before task completion. Useful for teams wanting structured feedback integration in Cursor IDE workflows.
Magicslide MCP Test enables rapid creation of polished slide decks from text or YouTube videos by automatically fetching and converting video transcripts. It's useful for content creators, educators, and professionals who need to quickly transform video content or text into presentation materials.
This MCP server enables AI assistants to read, search, and interact with any MediaWiki wiki (Wikipedia, internal wikis, etc.), allowing LLMs to access and leverage wiki content programmatically. Developers and organizations using MediaWiki instances benefit from seamless AI integration for knowledge retrieval and automation.
