Explore our complete collection of MCP servers to connect AI to your favorite tools.
Generates responses based on the latest information using the Gemini API and Google Search.
Enables Solana RPC methods for querying blockchain data through natural language.
Maps and analyzes GitHub repositories, providing structural information and summary statistics directly within your code editor.
Implements a Model Context Protocol (MCP) server for the Qwen Max language model, enabling integration with tools like Claude Desktop.
Integrates Flux's image generation capabilities into AI coding assistants, enabling image generation, manipulation, and control directly within IDEs.
Enables AI Agents to interact with the Twilio SendGrid v3 API for managing contacts, lists, templates, and email sends.
Coordinates and manages tasks across multiple Large Language Model (LLM) instances.
Enables efficient dataset discovery and retrieval for Geospatial analysis from NASA Earthdata.
Exposes grep functionality through the Model Context Protocol (MCP).
Provides file conversion tools for converting various document and image formats.
Dynamically creates new tools for use with MCP clients based on natural language descriptions.
Enables AI assistants to search for and control Home Assistant devices using natural language commands.
Connects to the Inkeep RAG service to retrieve product content and documentation.
Connects AI agents to OPC UA-enabled industrial systems for real-time data interaction.
Extends the capabilities of LLMs with tools running on Modal.
Control Three.js source code with a basic server implementation.
Enables interaction with MCP servers using a CLI leveraging DSPy.
Provides real-time security analysis of code by connecting to the Asterisk security API.
Facilitates interaction with dbt Docs via the Model Context Protocol.
Analyzes Java code to identify critical design issues for AI-assisted refactoring.
Logs Roo Code/Cline activities, saving activity history as JSON files for later search and analysis.
Facilitates user integration and queries by providing official PortOne documentation to Large Language Models.
Enables AI agents to query, discover, and analyze Prometheus metrics through natural language interactions via a unified interface.
Provides semantic analysis of C++ codebases using libclang, enabling AI models to understand code structure.
Enables programmatic interaction with Telnyx's comprehensive suite of communication APIs, including telephony, messaging, and AI assistant functionalities.
Empower Large Language Models with full read-write access to PostgreSQL databases, enabling both querying and modification of content with robust safety controls.
Provides a Model Context Protocol (MCP) server that leverages SerpApi for comprehensive search engine results and data extraction.
Establishes a local FAISS vector store as a Model Context Protocol server, enabling drop-in local Retrieval-Augmented Generation for AI agents and LLMs.
Streamlines API test generation and execution using a YAML declarative approach, optimized for AI coding assistants.
Integrates Jotform forms and submissions with any Model Context Protocol client, enabling programmatic access and control.
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