"MCP with RAG capabilities" matching MCP servers:

Implements a RAG workflow that integrates with any custom knowledge base and can be triggered directly from the Cursor IDE.

An intelligent MCP server that orchestrates multiple MCP servers with AI-enhanced workflow automation and production-ready context engine capabilities for codebase analysis.

A Model Context Protocol (MCP) server that provides comprehensive Jupyter notebook interaction capabilities, compatible with Claude Code.

A minimal MCP server that exposes a run_command tool over stdio, enabling command execution within a Docker container.

Enables automatic weather information retrieval through a custom MCP server integrated with OpenAI using Cloudflare tunnels. Demonstrates seamless function calling between OpenAI and custom MCP tools without manual intervention.

A Mathematical Computation Protocol server providing 286 mathematical functions across multiple domains with flexible transport options (STDIO/HTTP) and streaming capabilities.

A TypeScript-based MCP server designed for experimentation and integration with Calude Desktop and Cursor IDE, offering a modular playground for extending server capabilities.

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

A demonstration implementation of Model Context Protocol (MCP) using NestJS framework, allowing developers to build MCP-compatible applications with playground testing capabilities.

A fast, secure MCP server that extends its capabilities through WebAssembly plugins. Enables plugins written in any language to be distributed via OCI registries and run across cloud to edge.

A lightweight, fast MCP server that provides onchain capabilities for the LLMs and Agents.

An intelligent codebase processing server that provides agentic RAG capabilities for code repositories, enabling semantic search and contextual understanding through self-evaluating retrieval loops.

Enables interaction with E2b's tools and services through a standardized MCP interface, allowing AI agents to use E2b capabilities.

MCP-Logic is a server that provides AI systems with automated reasoning capabilities, enabling logical theorem proving and model verification using Prover9/Mace4 through a clean MCP interface.

Empower any MCP-compatible AI Agent(MCP Client) with engineering-grade capabilities to understand, modify, run, and deliver real-world code repositories.

An MCP-compliant server that enables AI systems to interact with mobile and desktop applications through Frida's dynamic instrumentation capabilities, allowing for process management, device control, JavaScript execution, and script injection.

A server that connects Unity with local large language models through Ollama, enabling developers to automate workflows, manipulate assets, and control the Unity Editor programmatically without relying on cloud-based LLMs.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with example implementations of calculator and greeting tools plus resource management capabilities.

Isolated Docker sandboxes for MCP servers. Read-only root, zero capabilities, network-none by default.

A drop-in MCP server implementation for Next.js projects using Vercel MCP Adapter, allowing developers to integrate model context protocol functionality with custom tools, prompts, and resources.