Explore our complete collection of MCP servers to connect AI to your favorite tools.
Facilitates the creation of custom tools for interacting with large language models using the Model Context Protocol.
Enables interaction with Babashka, a Clojure interpreter, through the Model Context Protocol.
Provides a standardized interface for interacting with Spiral's language models via a Model Context Protocol (MCP) server.
Enables AI models and agentic applications to interact with Apache Kafka for message publishing and consumption.
Enables Model Context Protocol (MCP) clients to interact with virtual Ubuntu desktops for web browsing, code execution, and more.
Generates images from text prompts using the Together AI platform through a Model Context Protocol (MCP) server.
Provides filesystem tools for use within MCP clients like Claude Desktop.
Connects LangChain.js-compatible LLMs with MCP servers for building flexible AI agents with dynamic tool access and multi-server support.
Provides a basic foundation for integrating Model Context Protocol (MCP) with SvelteKit applications deployed on Vercel.
Empowers LLMs with location-based services and geospatial data via the Model Context Protocol.
Enables Claude to search Twitter using natural language and display results according to user intent, offering both raw data and AI analysis options.
Enables interaction with native Apple apps and services through the Model Context Protocol.
Connect LangChain.js-compatible LLMs with MCP servers for building AI agents with dynamic tool access and multi-server support.
Provides a simplified local interface to the Smartlead API for AI assistants and automation tools.
Proxies any GraphQL API, automatically transforming its operations into discoverable and executable Model Context Protocol (MCP) tools for AI agents and developer workflows.
Serves AI agents with comprehensive context, documentation, and intelligent development assistance for the HeroUI component library via a Model Context Protocol (MCP) server.
Provides a comprehensive server for developing BASIC and Assembly Language programs for the Commodore 64.
Integrates Things 3 task management data with AI platforms via an MCP server, supporting read and write operations for tasks, projects, areas, and tags.
Manages stateful, secure, and scalable conversation contexts for AI applications, overcoming Large Language Model memory limitations by storing individual user dialogue histories.
Automates WeChat operations through ADB, enabling AI assistants to send messages and capture screenshots.
Provides a foundational template for building Model Context Protocol (MCP) servers using Nuxt and Nitro.
Provides an MCP server to enable AI assistants to interact with Jira for issue, project, board, and user management.
Establishes a bi-directional protocol bridge between Claude 4.5 Sonnet and GLM-4.6, enabling real-time architectural consultation for system design and technical decision-making.
Accesses and manages Obsidian notes directly from the file system, providing a secure Model Context Protocol (MCP) server interface.
Generates high-quality images from text or other images using the Seedream 4.0 API, enhanced with cloud storage, prompt templates, and intelligent image management.
Exposes relational databases to AI agents, enabling natural language queries and structured result retrieval.
Empower AI models with private, offline, and shareable Retrieval-Augmented Generation (RAG) libraries built directly from your own documentation.
Transforms years of AI conversation history and personal digital footprint into queryable intelligence for profound self-reflection and insight.
Facilitates high-performance searching and in-depth analysis of RimWorld C# source code and XML configuration for AI assistants.
Provides LLM clients with comprehensive tools to manage a Remnawave VPN panel.
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