"Jest" matching MCP servers:

Generates a Model Context Protocol server from an existing NestJS API's Swagger metadata, exposing endpoints as tools that execute through the real Nest request pipeline.

A simple MCP server combining FastMCP and LangGraph that enables AI agent interactions through tools for asking questions to an OpenAI-powered agent and receiving personalized greetings.

Enables deploying a remote MCP server on Cloudflare without authentication, allowing connection from AI Playground or Claude Desktop via SSE.

Async MCP server for running long-running AI tasks with real-time progress monitoring, enabling users to start, monitor, and manage complex AI workflows across multiple models.

Enables AI assistants to run complete website tasks in a real browser, returning every step, the final markdown content, and persistent tabs for follow-up calls or concurrent tasks.

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

A template for deploying authentication-free MCP servers on Cloudflare Workers. Enables easy creation and deployment of custom MCP tools that can be accessed remotely by AI clients like Claude Desktop and Cloudflare AI Playground.

A NestJS module that allows services to be exposed as an MCP server with Server-Sent Events transport, facilitating tool discovery and execution by clients.

A template for deploying remote Model Context Protocol servers on Cloudflare Workers using Server-Sent Events (SSE). It enables the creation and hosting of custom AI tools that can be accessed via the Cloudflare AI Playground or local clients like Claude Desktop.

Enables deployment of a remote Model Context Protocol server on Cloudflare Workers without authentication. Allows custom tool definitions and connection from MCP clients like Claude Desktop or Cloudflare AI Playground.

A serverless MCP implementation on Cloudflare Workers that allows deploying custom AI tools without authentication requirements.

Maps internal API endpoints to agent tools using OpenAPI specs, allowing agents to interact with internal services through natural language without per-agent tool wrappers.

This MCP server enables AI agents to interact with recruitment platforms like BOSS直聘, 猎聘, and Moka through a Chrome extension via WebSocket. It provides tools to detect platforms, fetch candidate lists, and test extension connectivity.

Enables multiple AI models to collaborate under a shared goal, architecture, plan, loops, sandbox, and acceptance criteria via a local-first MCP server.

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A template for deploying authentication-free MCP servers on Cloudflare Workers that can be accessed remotely by MCP clients like Claude Desktop or the Cloudflare AI Playground.

A proof-of-concept server implementing the Model Context Protocol that enables LLM applications to interact with Uber Eats functionality.