Discover our curated collection of MCP servers for developer tools. Browse 18167 servers and find the perfect MCPs for your needs.
Manages and stores code snippets across different programming languages using a standardized server interface.
Enables AI assistants to access and interact with Gyazo images through the Model Context Protocol.
Enables the Claude desktop app to execute terminal commands, manage processes, and perform file system operations, including code editing.
Answers questions using Pieces Long-Term Memory within an MCP context.
Interfaces with Typesense as a Model Context Protocol (MCP) Server.
Provides a unified interface for text-to-speech engines, including Kokoro TTS and OpenAI TTS.
Exposes Playwright functionality as an MCP server accessible via Server-Sent Events (SSE).
Analyzes codebases to provide AI-assisted code understanding and transformation capabilities.
Captures screenshots of web pages at multiple breakpoints and reports JavaScript errors, console logs, and network issues.
Fetches or generates YouTube video transcripts using AI, prioritizing official transcripts and falling back to local Whisper transcription.
Unifies multiple AI Model Context Protocol (MCP) servers into a single endpoint for AI assistants, managing and exposing tools via HTTP with prefix support.
Enables AI assistants to leverage local knowledge through semantic search over multi-format documents, supported by vector storage and OCR.
Connects AI assistants to the Yuque platform via the Model Context Protocol (MCP), acting as a proxy server.
Performs lightning-fast hybrid code search utilizing TF-IDF and vector embeddings, optimized for RAG-ready AI assistants.
Enables AI assistants to directly interact with WordPress, allowing for content creation, user management, and site configuration through the Model Context Protocol.
Enables AI agents to perform in-depth analysis of .NET memory dumps, inspecting heaps, threads, and exceptions using natural language.
Facilitates multi-agent AI consultations for Claude Code, leveraging various LLMs to gather diverse second opinions and enhance decision-making.
Facilitates real-time communication between various AI assistants via a universal message bus.
Indexes local codebases into structured entities, providing a repo-scoped context platform for coding assistants via JSON-RPC.
Equip AI agents with a personal email address to send, receive, and manage correspondence directly within MCP-compatible AI clients.
Scroll for more results...