A high-performance Model Context Protocol (MCP) server designed for large language models, enabling real-time communication between AI models and applications with support for session management and intelligent tool registration.

Backend service implementing the Model Control Panel protocol that connects to Apache Doris databases, allowing users to execute SQL queries, manage metadata, and potentially leverage LLMs for tasks like natural language to SQL conversion.

A project that integrates Model Control Protocol with OpenAI's API, allowing OpenAI to access and utilize tools exposed by a dockerized MCP server.

Enables running arbitrary JavaScript code in isolated Docker containers with on-the-fly npm dependency installation, supporting both ephemeral one-shot executions and persistent sandbox environments.

An MCP server that integrates AI assistants like Claude with GitLab's merge requests, allowing them to review code changes, add comments, and approve/unapprove merge requests directly through the GitLab API.

Node.js server implementing Model Context Protocol (MCP) for filesystem operations with comprehensive permission controls, allowing secure file and directory manipulation with granular access restrictions.

A serverless solution for deploying Model Context Protocol (MCP) servers on Cloudflare Workers without authentication requirements, enabling developers to create and access custom AI tools through the MCP standard.

AI-powered agent that streamlines web testing workflows by allowing developers to record, execute, and discover tests using natural language prompts in their AI coding assistants.

An educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server integrating with various LLM clients.

An application that demonstrates the future of user interactions through natural language with LLMs, enabling user registration, authentication, and data interaction exclusively via Model Context Protocol (MCP) tools.

A TypeScript scaffold for building Model Context Protocol (MCP) tools that let AI models call external services like sending emails or notifications.

A deployable MCP (Model Context Protocol) server on Cloudflare Workers that doesn't require authentication, allowing users to create and access custom AI tools through Claude Desktop or the Cloudflare AI Playground.

A basic example of developing and running serverless Model Context Protocol (MCP) using Netlify Functions, demonstrating how to deploy and access serverless functions with customized URLs.

An MCP server that enables AI platforms to interact with YepCode's infrastructure, allowing LLM-generated scripts to run on YepCode and turning YepCode processes into powerful tools that AI assistants can use directly.

Allows users to integrate their custom Quickchat AI Agents into various AI applications (Claude Desktop, Cursor, VS Code, etc.) through the Model Context Protocol, enabling AI-to-AI interactions.

A Model Context Protocol server that provides specialized prompt suggestions for backend development, frontend development, and general tasks to help LLMs generate better content.

A serverless implementation of the Model Context Protocol (MCP) that runs on Netlify Functions, allowing developers to build and deploy MCP-compatible services with minimal configuration.

A tool that allows deployment of a remote MCP (Model Context Protocol) server on Cloudflare Workers without authentication requirements, enabling connection to AI models through Claude Desktop or Cloudflare AI Playground.