Browse All Cursor MCP Servers

Create interactive 3D web apps with the PlayCanvas Editor.

A server that helps people access and query data in databases using the Legion Query Runner with Model Context Protocol (MCP) in Python.

An MCP server to query and retrieve medical images and for parsing and reading dicom-encapsulated documents (pdf etc.).

MCP server that lets LLMs know everything about your OpenAPI specifications to discover, explain and generate code/mock data

This is a Python-based MCP server that provides OpenAI web_search built-in tool.

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.

Web, Image, News, Video, and Local Point of Interest search capabilities using Brave's Search API

Query Onchain data, like ERC20 tokens, transaction history, smart contract state.

Allow AI agents to interact with Alchemy's blockchain APIs.

A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.（support CPU、Memory、Disk、Network、Host、Process）

₿ A Model Context Protocol (MCP) server that enables AI models to interact with Bitcoin, allowing them to generate keys, validate addresses, decode transactions, query the blockchain, and more.

A TypeScript implementation of a Model Context Protocol (MCP) server that integrates with PiAPI's API. PiAPI makes user able to generate media content with Midjourney/Flux/Kling/LumaLabs/Udio/Chrip/Trellis directly from Claude or any other MCP-compatible

Tools to the query and execute of Dify workflows

Interface with the Rijksmuseum API to search artworks, retrieve artwork details, access image tiles, and explore user collections.

Enhance AI-generated code quality through intelligent, prompt-based analysis across 10 critical dimensions from complexity to security vulnerabilities

Chat with OpenAI's smartest models

Atlassian Bitbucket Cloud integration. Enables AI systems to interact with repositories, pull requests, workspaces, and code in real time.

Link multiple data sources (SQL, CSV, Parquet, etc.) and ask AI to analyze the data for insights and visualizations.

A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure

Enables seamless integration with SonarQube Server or Cloud and allows for code snippet analysis within the agent context.