MCPJungle and mcp-gateway

These are competitors offering alternative approaches to MCP gateway architecture—MCPJungle emphasizes self-hosted simplicity while mcp-gateway prioritizes plugin-based extensibility and enterprise orchestration—but developers typically select one based on whether they prioritize ease of deployment or customizable agent composition.

MCPJungle
59
Established
mcp-gateway
49
Emerging
Maintenance 13/25
Adoption 10/25
Maturity 15/25
Community 21/25
Maintenance 10/25
Adoption 10/25
Maturity 15/25
Community 14/25
Stars: 898
Forks: 117
Downloads:
Commits (30d): 5
Language: Go
License: MPL-2.0
Stars: 352
Forks: 28
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

About MCPJungle

mcpjungle/MCPJungle

Self-hosted MCP Gateway for AI agents

This tool helps developers and organizations centralize access to various AI agent tools. You register your existing Model Context Protocol (MCP) servers and their tools with MCPJungle, and then your AI agents (like Claude or Cursor) can access all of them through a single connection. It's designed for managing AI agent interactions in a private, secure environment.

AI Agent Management Internal Tooling Private AI Infrastructure Tool-calling Orchestration Enterprise AI

About mcp-gateway

lasso-security/mcp-gateway

A plugin-based gateway that orchestrates other MCPs and allows developers to build upon it enterprise-grade agents.

This is for developers building AI agents and services that interact with various Model Context Protocol (MCP) servers and large language models (LLMs). It acts as a central hub, taking your server configurations and routing requests to the appropriate MCPs, while also enhancing security and managing server lifecycles. Developers can use it to create robust, secure, and well-managed enterprise-grade AI applications.

AI-infrastructure LLM-development API-orchestration data-security enterprise-AI

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