Explore our complete collection of MCP servers to connect AI to your favorite tools.
Manages markdown documentation with frontmatter, optimized for AI assistant integration.
Automates LinkedIn interactions and extracts data through browser automation, respecting terms of service and rate limits.
Enables AI agents to request human reviews via gotoHuman through an asynchronous, webhook-based workflow.
Enables AI users to execute MATLAB code, generate scripts from natural language, and access documentation directly within conversations.
Connects a local Zotero library with Claude's desktop interface for direct read access.
Retrieves real-time and historical Crypto Fear & Greed Index data from Alternative.me.
Integrates Flowise chatflows and assistants into the Model Context Protocol (MCP) ecosystem, enabling dynamic tool registration and simplified configurations.
Enables human-in-the-loop workflows in tools like Cline and Cursor by providing a simple MCP server.
Enables AI assistants to build and test Xcode projects through a standardized Model Context Protocol interface.
Integrates Azure DevOps with the Model Context Protocol (MCP) server, providing access to work items, repositories, projects, boards, and sprints.
Enables interaction with the VRChat API through a Model Context Protocol (MCP) server.
Manages containerd CRI interfaces using the Rust Model Context Protocol (RMCP) library.
Build and run Nostr NIP90 Data Vending Machines (DVMs) in Python.
Enables Large Language Models to securely query and analyze Azure Cosmos DB data through a standardized interface.
Bridges AI assistants and Temporal workflows, enabling chat-driven workflow orchestration.
Provides a curated list of remotely hosted and managed Model Context Protocol (MCP) servers.
Enhances TickTick workflows by providing an MCP server with improved filtering capabilities for AI assistants and other MCP-compatible applications.
Enables AI assistants to initiate and manage voice calls using Twilio and OpenAI.
Analyzes React code and generates documentation locally using the Model Context Protocol.
Transforms OpenAPI/Swagger specifications into Model Context Protocol (MCP) format, enabling AI assistants to interact with REST APIs through a standardized protocol.
Integrates the Claude Code CLI directly into Emacs, enabling AI-powered coding sessions within your editor.
Enables developers to interact with AI systems through speech across multiple channels, functioning as both a command-line tool and a Python library.
Manages and load-balances multiple Tavily API keys to enhance availability and increase request throughput for Tavily services.
Optimizes context for AI coding assistants by enabling them to extract targeted information from files and command outputs, rather than processing large data in its entirety.
Monitor system performance and resources across diverse operating systems and architectures from a single, portable executable.
Facilitates Android dynamic analysis for AI models by integrating with the Frida toolkit.
Empowers your Navidrome music server with an AI-powered assistant, facilitating intelligent playlist creation, music discovery, and library management through natural language interaction.
Integrate with the AnySite API to access and manage LinkedIn and Instagram data, including user profiles, posts, and company information, while also enabling Reddit search.
Stream online music directly from your command-line interface with support for AI integration via Model Context Protocol.
Connects AI agents to Miro boards, enabling them to read board context, create diagrams, and generate code while maintaining enterprise-grade security.
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