Discover our curated collection of MCP servers for developer tools. Browse 18502 servers and find the perfect MCPs for your needs.
Manages and visualizes personal health information, focusing on blood pressure trends.
Powers an Oh-my-zsh-style chatbot using Claude and MCP.
Demonstrates the Model Context Protocol (MCP) using a locally hosted LLM and Java Spring Boot.
Exposes Heroicons as resources and tools for LLMs and agentic applications.
Integrates RongCloud instant messaging services into an MCP server built on the FastMCP framework.
Provides a robust foundational structure for developing generative AI applications.
Provides an unofficial local server to access documentation from Dash docsets for AI assistants.
Manages PostgreSQL database interactions using an AI agent powered by LlamaIndex and a local Ollama LLM.
Enables AI agents to execute code in a sandboxed Google Cloud Functions environment.
Perform local file searches using embeddings for semantic understanding.
Integrates ArXiv research papers and sequential thinking tools with AI assistants, enabling enhanced information retrieval and dynamic problem-solving.
Recommends AWS services based on your specific use case descriptions.
Integrates Claude AI with Blender, enabling AI-powered control and manipulation of 3D scenes and objects through natural language prompts.
Provides up-to-date, version-specific code documentation directly into Large Language Models and AI code editors to improve code generation accuracy.
Generates multilingual greetings and AI-powered images using the Model Context Protocol.
Enables simultaneous browser automation for multiple AI agents through the Model Context Protocol (MCP), using your existing Chrome profile.
Centralize and manage access to multiple Model Context Protocol (MCP) servers, optimizing LLM context and configuration.
Generates professional dance notation from natural-language prompts, validating, repairing, and rendering it to SVG for AI agents.
Multiplexes stdio-based MCP servers, allowing Claude Code to share backend server processes across multiple sessions and significantly reduce process overhead.
Expose OpenTelemetry observability data, including traces, metrics, logs, and ZK proofs, as tools for AI agents.
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