A framework to use with AI to easily create a server for any service. Just drop the API Documentation in it and ask to create the MCP.

Model Context Protocol server to run Python code in a sandbox.

Enables interaction with Ghost CMS via LLM interfaces, providing secure access through JWT authentication for managing posts, users, and newsletters with detailed output and error handling.

An MCP server that enables integration with GitHub Enterprise API, allowing users to access repository information, manage issues, pull requests, workflows, and other GitHub features through Cursor.

Connects to Lightning Network nodes and enables natural language queries for channel information, providing both human-readable responses and structured JSON data through the Model Context Protocol.

A Model Context Protocol server that reduces token consumption by efficiently caching data between language model interactions, automatically storing and retrieving information to minimize redundant token usage.

A Model Context Protocol server that provides seamless interaction with Workato's API through custom AI tools, enabling management of recipes, connections, connectors, folders, and activity logs.

A production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs).

A local server that enables interaction with Canvas Learning Management System API through Claude Desktop, allowing users to manage courses, access assignments, view announcements, and retrieve course materials.

A server that wraps the code2flow command-line tool as an MCP service, allowing AI applications to generate and access code call graphs through a standardized protocol.

MCP server that checks the Baseline status using Web Platform APIs.

A Model Context Protocol server that enables seamless integration between Cursor IDE and JIRA, allowing users to retrieve issues, execute JQL searches, and log work through natural language interactions.

A server that allows users to interact with PostHog analytics platform through Claude Desktop, enabling listing projects, creating annotations, searching insights, and accessing documentation.

Provides accessibility testing capabilities through CLI, helping identify accessibility issues in web applications using axe-core and Puppeteer.

The Model Context Protocol (MCP) Jenkins integration is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.

Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.

A Model Context Protocol (MCP) server that enables real-time, interactive AI chat with Selector AI through a streaming-capable server and Docker-based client communicating via stdin/stdout.

Jinni is a tool to efficiently provide Large Language Models the context of your projects. It gives a consolidated view of relevant project files complete with metadata, overcoming the limitations and inefficiencies of reading files one by one.

The philosophy behind this tool is that LLM context wi

A high-performance Model Context Protocol server implementation that provides a standardized interface for third-party applications to integrate with Kick streaming platform API.

A lightweight MCP server that provides a unified interface to various LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama.

A serverless, multi-tenant implementation of MCP servers that runs on Vercel with fluid compute mode, allowing multiple users to connect to the same endpoint while maintaining session state through Redis.

MCP server to work with okta entities

A fully featured coding agent that uses symbolic operations (enabled by language servers) and works well even in large code bases. Essentially a free to use alternative to Cursor and Windsurf Agents, Cline, Roo Code and others.

Facilitates secure and type-safe interactions with both v1 and v2 of the Glide API, allowing users to manage app data and perform CRUD operations on tables via a Model Context Protocol interface.

A simple temporary MCP server for RAGFlow that bridges the gap until an official version is released.