Discover our curated collection of MCP servers for developer tools. Browse 19408 servers and find the perfect MCPs for your needs.
Connects to the Tesla Fleet API, enabling AI assistants to control and interact with Tesla vehicles.
Enables Claude to generate speech directly via Zonos Text-to-Speech.
Connects a Bitcoin Lightning wallet to large language models using Nostr Wallet Connect and the Model Context Protocol.
Enables LLMs to securely execute code via a managed code interpreter.
Facilitates testing of Model Context Protocol (MCP) server implementations.
Connects LLMs to DefectDojo, enabling AI-powered security workflows through a Model Context Protocol server.
Explore, experiment, and apply Generative AI concepts and tools in practical, everyday scenarios.
Integrates a Model Context Protocol (MCP) server for GitLab within the Zed editor.
Enables retrieval of user and video information from the Bilibili API using the Model Context Protocol.
Provides an example implementation of an MCP server in Go for a coffee shop domain.
Enables AI assistants to send native macOS notifications with clickable tmux session focusing.
Connects Signoz instances with AI assistants and other MCP-compatible clients to enable programmatic data access and analysis.
Enables AI agents to compile and test Unity code within the Unity Editor reliably.
Checks PineScript syntax using TradingView's official API.
Optimizes Vitest testing for AI assistants by providing structured output, visual debugging context, and intelligent coverage analysis.
Optimizes browser automation for AI assistants by reducing web page content by up to 90% using an innovative semantic snapshot algorithm.
Manages a personal movie watchlist, provides AI-powered recommendations, and integrates interactive widgets directly into ChatGPT.
Empowers AI development with persistent memory, structured specifications, and adaptive change management for building software through a Spec-Driven Development approach.
Integrates Cloudglue's advanced video analysis capabilities into AI assistants and LLMs via the Model Context Protocol.
Connects AI assistants to Bitbucket Data Center, enabling advanced code search, file browsing, and pull request management through a standardized interface.
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