Explore our complete collection of MCP servers to connect AI to your favorite tools.
Connects Large Language Models to open data sources using the Model Context Protocol.
Enables control of a Ghost CMS blog through natural language interactions using LLMs like Claude.
Downloads entire websites, preserving structure and converting links for local use.
Enables interaction with the 1Panel platform via the Model Context Protocol (MCP).
Enables AI assistants to interact with Notion's API for reading, creating, and modifying content through natural language.
Connects FreeCAD to Claude AI and other Model Context Protocol (MCP) tools, enabling prompt-assisted CAD 3D design.
Integrates with the Postman API to enable comprehensive management of Postman collections, environments, and APIs.
Integrates Figma's API with Claude and other Model Context Protocol (MCP) compatible clients, providing read-only access to Figma files and projects.
Integrates AgentQL's data extraction capabilities as a Model Context Protocol server.
Integrates Discord with Model Context Protocol (MCP) clients, such as Claude Desktop, enabling interaction with Discord servers.
Enables LLMs to retrieve application telemetry data, analyze distributed traces, and use results from SQL queries executed via Logfire APIs.
Enables AI assistants to interact with OmniFocus tasks and projects using natural language.
Simplifies Kubernetes operations by providing an SDK-level abstraction of kubectl and client-go, offering easy resource management and MCP server capabilities.
Simplifies the discovery, installation, and management of Model Context Protocol (MCP) servers through a user-friendly desktop application.
Enables AI agents to perform function calls and message processing directly within Feishu (Lark) without requiring a dedicated bot.
Simplifies building MCP servers in Go with a type-safe and intuitive SDK.
Simulates HTTP traffic to benchmark and analyze web service performance.
Enables interaction with the Backlog API to manage projects, issues, wikis, and more through AI agents.
Provides a standardized interface to interact with and manage Kubernetes clusters.
Executes arbitrary JavaScript code in isolated, ephemeral Docker containers with on-the-fly npm dependency installation.
Analyzes PubMed medical literature to provide researchers with insights into medical research trends.
Facilitates agentic data analysis on JSON and CSV files for AI models like Claude Code.
Implements a sophisticated database design for Artificial General Intelligence (AGI) memory management, featuring multiple storage and retrieval mechanisms inspired by human cognitive architecture.
Brings AI-powered business intelligence to ERPNext with natural language queries.
Dynamically selects and exposes tools from multiple MCP servers to create focused toolsets for AI assistants.
Aggregates and filters Model Context Protocol (MCP) server tools, optimizing context usage and preventing naming conflicts for AI clients.
Empowers content creators with flexible, efficient, and scalable video editing and dubbing capabilities to unleash creative potential.
Empower Large Language Models to read, edit, and automate Excel spreadsheets using a robust set of MCP tools.
Enable ordered and verifiable interactions between autonomous agents and AI services through an open protocol.
Transforms Docker Compose configurations into secure, scalable cloud deployments across major providers like AWS, GCP, and DigitalOcean.
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