Top MCP Servers

Enables AI assistants to interact with the Unity Editor by exposing editor operations as Model Context Protocol tools and resources, bridging Unity with a Node.js server for natural‑language driven scene, asset, and project management.

Create, read, and manipulate Microsoft Word documents via a standardized interface for AI assistants.

Summarize chat messages by querying a local chat database and returning concise overviews.

Provides on‑premises conversational retrieval‑augmented generation (RAG) with configurable Docker containers, supporting fully local execution, ChatGPT‑based custom GPTs, and Anthropic Claude integration.

Enables secure interaction with MySQL databases via the Model Context Protocol, allowing AI applications to list tables, read contents, and execute queries safely.

Automatically format Markdown articles and publish them to WeChat public accounts, supporting theme selection, image upload, and AI integration.

Provides an AI‑driven OSINT workflow that lets users query a natural‑language REPL, CLI, web UI, or MCP server, automatically selecting and chaining 18 reconnaissance tools to collect, pivot, verify, and report public‑source intelligence.

Enables AI assistants to retrieve and manage personal macOS data such as calendar events, contacts, messages, reminders, location, maps, and weather through a local MCP server, allowing personalized AI interactions without sending data off‑device.

Provides a Model Context Protocol server that stores and retrieves semantic memories using Qdrant vector search, acting as a semantic memory layer.

Provides read‑only access to MySQL databases for large language models, allowing schema inspection and safe execution of SQL queries.

Provides a catalog of reusable agent skills, custom agent templates, and MCP server configurations to extend AI coding agents with Azure SDKs and Microsoft AI Foundry capabilities.

Control Gmail, Calendar, Drive, Docs, Sheets, Slides, Chat, Forms, Tasks, Search and other Google Workspace services through natural‑language prompts and AI assistants, all via a single MCP server backend.

Provides a powerful Model Context Protocol interface for Slack workspaces, enabling message retrieval, search, and optional posting via Stdio or SSE transports without requiring bot permissions.

Provides deterministic verification of AI‑generated claims against binary artifacts, ensuring every structural or behavioral assertion is grounded in the actual file and preserving verified state across context resets.

Provides integration with Terraform Registry APIs, enabling automation and interaction for Infrastructure as Code development via Model Context Protocol.

Enables AI agents to send and receive payments, purchase goods and services, execute investment strategies, tokenize assets, and obtain financial insights by leveraging blockchains, stablecoins, and wallets.

Provides a proxy that forwards Model Context Protocol requests from external clients to JetBrains IDEs, enabling code‑related assistance tools to interact with IntelliJ‑based editors.

Provides authenticated access to XiaoHongShu (RedNote) notes, supporting keyword search, note retrieval by URL, and cookie persistence via a Model Context Protocol server.

Provides a way to navigate complex OpenAPI specifications using simple language, enabling AI models to understand and explore APIs without writing code.

Provides a Model Context Protocol server that enables AI assistants to send, read, search, and organize Gmail messages, supporting attachments, label and filter management, and automatic OAuth2 authentication.

Provides a server that interfaces with the Notion API, enabling LLMs to retrieve, modify, and query Notion workspace data, with optional Markdown conversion to reduce token usage.

Provides a native Go‑based implementation that exposes Kubernetes and OpenShift resources via the Model Context Protocol, enabling AI agents and other clients to perform CRUD operations, pod management, Helm actions, and more without external CLI tools.

Provides real‑time web search, intelligent data extraction, structured website mapping, and systematic crawling through an MCP server, ready to be integrated with AI coding assistants and other tools.

Provides enterprise‑grade open source software supply chain security by scanning source code, dependencies, containers and SBOMs, detecting vulnerabilities and malicious packages, and enforcing policy as code.

Provides Google Calendar integration for AI assistants, enabling event listing, creation, updating, deletion, free/busy queries, recurring event handling, and smart scheduling via natural language.

Enables AI agents to control web browsers via the browser-use protocol, supporting both SSE and stdio transports, with VNC streaming and asynchronous task execution.

Enables bidirectional integration of large language models with ROS‑enabled robots, allowing natural language commands and real‑time access to robot state, topics, services and parameters.