"Setting up multiple MCP servers within one MCP server" matching MCP servers:

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with examples of tools (calculator, greeting) and resources (server info).

All In One Model Context Protocol: qdrant, google suite (gmail, calendar, ...), jira, gitlab, CLI, ...

Enables AI assistants to run, list, and analyze Lupa test suites, returning structured JSON results for debugging.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

An auto-generated MCP server for Google's Serverless VPC Access API, enabling communication with Google Cloud VPC networks through natural language interactions.

An MCP Server that enables natural language interaction with the Open Policy Agent REST API, allowing users to manage policies, decisions, and data through conversational interfaces.

An MCP Server that enables users to interact with Google's On-Demand Scanning API (v1beta1) through natural language, likely providing capabilities for vulnerability scanning and security analysis of containers and artifacts.

An MCP server for the VTEX Subscriptions API (v3) that enables managing subscription services through natural language interactions, auto-generated using AG2's MCP builder.

An auto-generated MCP server that enables interaction with the OpenAI API, allowing users to access OpenAI's models and capabilities through the Multi-Agent Conversation Protocol.

An MCP (Multi-Agent Conversation Protocol) Server that enables interaction with Google Workflows API, allowing management of workflow executions and definitions through natural language commands.

Production-oriented MCP gateway for managing Codex through a persistent codex app-server process, supporting threads, autonomous goals, approvals, and HTTP/stdio transports.

Enables execution of SuperCollider synth code through the Model Context Protocol using supercolliderjs, allowing AI assistants to generate and run audio synthesis programs.

A TypeScript-based server that connects MCP Clients to Dify applications, dynamically exposing Dify applications as tools that can be used directly within the MCP Client.

A professional Python framework and template for building robust Model Context Protocol (MCP) servers with modular architecture, enterprise features like authentication and rate limiting, and comprehensive tooling. Provides easy-to-use APIs for registering tools, resources, and prompts with full type safety and multiple transport support.

A proxy server that unifies multiple MCP servers, enabling seamless tool, prompt, and resource management via the MetaMCP App.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with example implementations of tools (calculator, greeting) and resources (server info).

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

fengchong demo

An all-in-one MCP server providing complete AI agent capabilities including file operations, code execution (Python/Node.js), one-click web deployment with wildcard domain support, Excel/CSV processing, and image generation in isolated multi-tenant workspaces.

A Model Context Protocol (MCP) server that enables seamless integration between MATLAB and MCP-compatible applications like Claude Code. Execute MATLAB code, manage workspace variables, create plots, handle data I/O, and more - all through a token-efficient MCP interface.