Explore our complete collection of MCP servers to connect AI to your favorite tools.
Integrates tens of thousands of Alibaba Cloud OpenAPI services directly into AI applications and workflows through the Model Context Protocol (MCP).
Provides text-to-speech generation with automatic audio playback using the Chatterbox TTS model.
Facilitates real-time control and monitoring of Tesla vehicles through an MCP server interface, leveraging the Tessie API.
Enables natural language querying of Red Eléctrica de España's real-time and historical electricity grid data via Claude.
Enable AI agents to interact with Sperax Protocol's DeFi ecosystem, including USDs, SPA, veSPA, and Demeter on Arbitrum and BNB Chain.
Performs comprehensive domain analysis, including WHOIS lookups, DNS record queries, and DNS health checks.
Automates San Francisco tennis court bookings on recreation websites through browser automation.
Provides example implementations for Spring AI's Model Context Protocol, demonstrating interaction with various databases.
Optimizes LLM agent operations by intelligently suppressing expensive LLM calls through a hierarchical decision-making architecture, drastically reducing costs and latency.
Provides a robust interface to manage Jenkins CI/CD servers, enabling job triggering, build status checks, and detailed instance monitoring.
Analyzes spatial transcriptomics data through natural language conversation, enabling researchers to interact with their data without writing code.
Enables AI assistants to send native macOS notifications with clickable tmux session focusing.
Enables seamless integration with Rosetta and PyRosetta, facilitating the execution of RosettaScripts, XML validation, and direct access to molecular modeling tools within an MCP client.
Provides persistent memory and instruction management for VS Code's GitHub Copilot, ensuring it remembers user preferences and context across conversations.
Enables intelligent document search and retrieval from PDF collections by serving as a Model Context Protocol (MCP) server.
Provides managed Model Context Protocol (MCP) servers for connecting AI agents to production-ready services.
Provides an MCP server offering a unique tool designed to humorously address Japan's hot summer, currently demonstrating consistent failure for illustrative purposes.
Enables AI models to query and retrieve comprehensive materials science data from the Materials Project database via a Model Context Protocol server.
Automates internationalization and localization workflows using AI, specifically for documentation projects integrated within GitHub Actions.
Enables rapid development of custom tools and data resources for large language models, particularly Claude Desktop, using intuitive Python decorators.
Provides AI agents with programmatic access to CodeSandbox SDK operations for managing development environments.
Provides accurate French individual income tax calculations and official tax information to AI assistants.
Provides a shared memory layer to keep AI coding agents synchronized across different tools and tasks, ensuring no context is lost during collaborative development.
Enables AI agents to interact with Google BigQuery databases via natural language queries and schema exploration.
Provides a server application for connecting to PostGIS databases using the Model Context Protocol.
Provides a comprehensive Model Context Protocol (MCP) server for managing Proxmox virtual machines and containers, enhancing AI interaction with the virtualization platform.
Enables Model Context Protocol clients to securely access Autodesk Platform Services API, utilizing Secure Service Accounts for fine-grained control.
Enables AI models like Claude and ChatGPT to search and retrieve content from Lenny's Podcast transcripts.
Enables Trae IDE's AI agents to access real-time code errors and warnings for intelligent analysis and suggestions.
Orchestrates production-grade multi-agent AI systems with advanced financial intelligence, RAG pipelines, and secure governance.
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