Explore our complete collection of MCP servers to connect AI to your favorite tools.
Enhances Claude Desktop's reasoning capabilities with beam search and Monte Carlo Tree Search.
Enables the invocation of Dify workflows by calling tools using the Model Context Protocol (MCP).
Empowers LLMs to leverage Open Strategy Partners' core marketing techniques.
Provides stock traders with a Model Context Protocol (MCP) server for financial analysis.
Enables AI assistants to interact with Odoo ERP systems through the Model Context Protocol.
Enables AI assistants to interact with and control a Home Assistant instance using the Model Context Protocol.
Analyzes code using tree-sitter to provide context-aware code understanding for AI assistants.
Enables reading and writing to Google Drive files and Google Sheets via the Model Context Protocol.
Enables web searches within MCP-compatible applications using the Perplexity AI API.
Enables Large Language Models (LLMs) to interact with MongoDB databases for schema inspection and operation execution.
Enables natural language interaction with the MacOS Calendar for event management and scheduling.
Provides unified access to multiple search engines, AI tools, and content processing services.
Analyzes codebases to identify important files based on dependency relationships, generating diagrams and importance scores to improve AI understanding.
Bridges the Telegram API with AI assistants using the Model Context Protocol (MCP).
A collection of guides, utilities, clients, and servers developed while exploring and implementing the Model Context Protocol (MCP).
Exposes any web application with an OpenAPI specification as a Model Context Protocol (MCP) server.
Simplify third-party API integrations with an open-source API gateway.
Enables AI assistants to access and interact with Reddit content through PRAW.
Manages Model Context Protocol (MCP) servers for the Claude Desktop application.
Exposes GraphQL operations as Model Context Protocol (MCP) tools.
Exposes local capabilities to Large Language Models (LLMs) via the Model Context Protocol (MCP).
Provides a high-performance backend system for querying China Railway 12306 train ticket information using the Model Context Protocol (MCP).
Orchestrates access to OpenAI, Google Gemini, and Azure AI models through a unified Model Context Protocol (MCP) interface for enhanced coding workflows.
Enables secure command-line interactions on Windows systems for controlled access to various shells and remote systems via the Model Context Protocol.
Enables large language models to securely read, manage, and operate Salesforce resources.
Provides AI coding agents with symbol-aware semantic search for precise context on large codebases.
Enables AI assistants to control Unreal Engine via Remote Control API for game development automation.
Unify code indexing, hybrid search, and LLM decoding into a plug-and-play retrieval stack for rapidly deploying context-aware AI agents.
Empowers development teams with a 24/7 AI workforce comprising product managers, engineers, QA, and DevOps specialists to streamline software projects and enhance productivity.
Empower AI to discover and mass-produce alpha-generating quantitative trading strategies.
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