Discover our curated collection of MCP servers for developer tools. Browse 13671servers and find the perfect MCPs for your needs.
Centralizes feature requests, bug reports, and improvement suggestions for the OneMCP platform.
Enables creating and modifying wireframes in Frame0 by prompting.
Provides a server to retrieve synchronized transcripts from YouTube videos.
Generates MP3 files from text using the Kokoro-TTS model and optionally uploads them to S3.
Enables AI models to interact with cryptocurrency exchange APIs via the Model Context Protocol (MCP) for automated trading strategies.
Enables querying Reaper projects using an MCP client.
Connects a chat REPL to the Wolfram Alpha computational intelligence engine.
Connects Sanity content to AI agents, enabling content creation, updates, and exploration through natural language.
Fetches TradingView chart images for specified tickers and intervals.
Enables AI assistants to interact with a Roam Research graph through a standardized Model Context Protocol (MCP) interface.
Enables collaborative workflows for Goose agents through a Model Context Protocol (MCP) server and protocol.
Converts Figma designs into React components with TypeScript and Tailwind CSS.
Summarizes GitHub discussions, issues, and pull requests using a fast local database to provide comprehensive insights.
Dynamically configure Model Context Protocol (MCP) server arguments at runtime.
Enables AI agents to visualize and understand code, architectures, and system flows through on-demand diagram generation.
Integrates AI agents like Gemini and Qwen directly into Neovim for seamless diff views, agent management, and smart file modifications.
Connects Claude Desktop with DeepSeek's language models (R1/V3) using a Model Context Protocol (MCP) server implementation.
Unifies multiple Model Context Protocol (MCP) servers into a single intelligent hub, simplifying tool discovery and management for AI assistants.
Provides a ready-to-go starting point for building custom Model Context Protocol servers.
Enables management of Railway.app infrastructure, including deployments, variables, and services, through natural language using Model Context Protocol.
Scroll for more results...