Explore our complete collection of MCP servers to connect AI to your favorite tools.
Provides an MCP server to manage, build, check, and search Rust documentation locally.
Unifies multiple Model Context Protocol (MCP) servers into a single intelligent hub, simplifying tool discovery and management for AI assistants.
Serves up context for dev tools by fetching content from documentation sources.
Plays notification sounds via a Model Context Protocol server when tasks are completed by AI agents.
Provides read-only access to Kubernetes clusters, designed for seamless integration with AI assistants.
Orchestrates hierarchical Claude instances via tmux, leveraging a bridge pattern for efficient resource management.
Automates the generation and management of rule files for Trae AI projects.
Enables Large Language Models (LLMs) to directly interact with CrateDB databases.
Integrates Fish Audio's Text-to-Speech API with large language models, enabling natural language-driven speech synthesis through the Model Context Protocol.
Analyzes NPM packages using AI to provide real-time insights into security, dependencies, and performance.
Manages background processes for AI agents, enabling real-time monitoring and control for developers.
Enables semantic search of user-provided ETABS documentation using local embeddings and a Model Context Protocol (MCP) server.
Enforces disciplined programming practices for AI assistants by requiring audit and verification of outputs at each development phase.
Provides Claude Code with seamless access to Binance exchange API functionality.
Enables Claude Desktop to interface with an Ollama LLM server.
Connects AI assistants to Web Ontology Language (OWL) ontologies using the Model-Context-Protocol.
Enables pick-and-place instructions to be sent to a myCobot robotic arm using the Model Context Protocol.
Monitors development server logs in real-time, intelligently categorizes errors, and provides instant notifications to Claude Code.
Deploys a remote server for comprehensive SEO auditing of webpages, providing structured insights across on-page, technical, and social media aspects.
Provides an advanced AI companion experience featuring emotional intelligence, sophisticated memory management, and extensive tool integration.
Tracks workouts, nutrition, and daily journal entries, providing AI-assisted analysis for personal well-being.
Provides a Model Control Protocol (MCP) server for managing Hugo static site generator.
Enables LLMs to interact with YugabyteDB by listing tables, schema, row counts, and running read-only SQL queries.
Serves as an MCP server to facilitate the playback and control of movies using VLC media player.
Executes Argo Workflows via a lightweight JSON-RPC interface.
Automates WeChat operations through ADB, enabling AI assistants to send messages and capture screenshots.
Retrieves YouTube video URLs from a specified Watch Later playlist within a given timeframe.
Provides an interface for interacting with Solana blockchain data and models via a Python-based server implementing the Model Context Protocol.
Turns scattered AI conversations into persistent, searchable knowledge by capturing insights from any AI session and making them available across all your tools.
Serves as a Model Context Protocol (MCP) server tailored for Longport OpenAPI.
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