Allows LLMs to execute Python code in a specified Conda environment, enabling access to necessary libraries and dependencies for efficient code execution.

Shell and file edit capabilities tightly coupled to provide a powerful coding experience.

You can work with different modes: architect and code-writer for separate plan and implementation phase.

You can get it to invoke any cli command, e.g., compiling, type checking, linting, github cli, python

MCP Server for automated reverse engineering with IDA Pro.

A Model Context Protocol server that integrates with Cursor IDE, providing real-time communication, modern web dashboards, and extensible tools via SSE and WebSocket connections.

A server that bridges the Model Context Protocol (MCP) with SAP ABAP systems, allowing tools like Cline to retrieve ABAP source code, table structures, and other development artifacts.

Provides seamless access to [Postman](https://www.postman.com/).

GitLab MCP Server (with activity tracking and group projects listing features)

This server is based on the original GitLab MCP server with Group Projects Listing and Activity Tracking enhancements

A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

A Model Context Protocol (MCP) server that enables creation and management of Framer plugins with web3 capabilities like wallet connections, contract interactions, and NFT displays.

Convex’s MCP server lets you introspect tables, call functions, and read/write data seamlessly. Agents can generate one-off queries safely—thanks to Convex’s sandboxed queries, ensuring data integrity. Perfect for AI automation, real-time apps, and dynamic data access.

A bridge enabling seamless communication between Unity and Large Language Models via the Model Context Protocol, allowing developers to automate workflows, manipulate assets, and control the Unity Editor programmatically.

Enables Claude to interact with Ethereum nodes, allowing users to check ENS token balances, view smart contract code, and decode transactions through natural language.

Connects Claude AI to QGIS through the Model Context Protocol, allowing Claude to directly interact with and control QGIS for tasks like project creation, layer manipulation, and code execution.

Enables AI assistants to interact with Figma files through ModelContextProtocol, allowing for viewing, commenting, and analyzing Figma designs.

A package that connects Claude Desktop and other MCP clients to Cloudflare Workers, enabling custom functionality to be accessed via natural language through the Model Context Protocol.

A Cursor-compatible toolkit that provides intelligent coding assistance through custom AI tools for code architecture planning, screenshot analysis, code review, and file reading capabilities.

Enables natural language time tracking and reporting for Harvest, including automatic leave requests, project/task matching, and date parsing.

react-mcp integrates with Claude Desktop, enabling the creation and modification of React apps based on user prompts

An MCP server implementation that allows interaction with the Unstructured API, providing tools to list, create, update, and manage document processing sources, destinations, and workflows.

This MCP server provides unified diffs of two text inputs using Python's standard library difflib.

A server that enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine to tackle complex reasoning tasks.

TypeScript-based MCP server designed to enhance code editing experiences by providing features such as hover information, code completion, and diagnostics.

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

A server that helps AI models better understand Vite/Nuxt applications, providing enhanced context awareness for development support.

An MCP server that allows managing Docker containers through natural language, enabling users to compose, introspect, and debug containers without running commands themselves.