Explore our complete collection of MCP servers to connect AI to your favorite tools.
Connects to various AI providers like OpenAI, MistralAI, and Anthropic using the MCP protocol, allowing interaction via tools or predefined prompts.
Record and manage notes with AI models using a simple note-taking server.
Enables Large Language Models to write and execute MATLAB scripts for complex computations and simulations.
Enables querying and retrieving threat intelligence data from an OpenCTI platform through a standardized Model Context Protocol (MCP) interface.
Provides intelligent text summarization capabilities to manage context window size for AI agents by summarizing outputs from various actions.
Provides access to sleep, readiness, and resilience data from the Oura API for language model querying.
Enables LLMs to manage projects and issues within Plane.so through its API.
Enables agent frameworks like Model Context Protocol (MCP) to integrate with Maton APIs through function calling.
Fetches structured data from Hacker News, including top, new, ask, show, and job stories.
Enables interaction with Coolify instances through Model Context Protocol (MCP) tools.
Provides a ready-to-use server template for extending the Cursor IDE with custom tools and commands via the Model Context Protocol (MCP).
Enables remote control and extension of the Tasker automation app on Android devices.
Enables LLMs to access real-time and historical cryptocurrency and DEX data for market analysis and DeFi analytics.
Provides an enterprise governance layer for Model Context Protocol SDK, adding identity, RBAC, credential management, auditing, logging, and tracing capabilities.
Build and launch any MCP server with ease.
Crawls websites, generates Markdown documentation, and makes that documentation searchable.
Accesses the RedNote (XiaoHongShu) platform through a dedicated MCP server.
Safely executes Python code and manages packages in isolated Docker containers, designed for use with LLMs.
Enables natural language interaction with Microsoft 365 services through Large Language Models (LLMs).
Demonstrates implementation of an MCP client using SwiftUI and the Anthropic API.
Facilitates rapid sending of transactional emails through Postmark by exposing a Model Context Protocol (MCP) server.
Provides large language models with seamless, agent-level access to RDKit functionalities through natural language, eliminating the need for coding.
Facilitates AI-driven video uploads to YouTube without relying on traditional interfaces or sharing data with third parties.
Enhances the Gemini CLI by providing intelligent command routing, dynamic persona switching, and real Multi-Client Protocol (MCP) server orchestration.
Integrates industry-standard reservoir engineering calculations with AI assistants like Claude via the Model Context Protocol.
Integrates AI-powered search and vision analysis APIs for enhanced code development workflows via a specialized MiniMax Model Context Protocol (MCP) server.
Provides a CLI-first interface for inspecting Composer-based Kirby CMS projects and interacting with a live Kirby runtime.
Enables AI agents to access Microsoft Entra data by translating natural language queries into Microsoft Graph API calls.
Enables Claude Code AI agents to send Telegram notifications for decisions, blockers, or task completion, facilitating asynchronous human-in-the-loop workflows.
Empowers AI assistants to run, inspect, modify, and debug real Godot Engine projects end-to-end.
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