MCPJungle

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MCPJungle is an AI Agents & Automation tool that acts as a self-hosted MCP Gateway for individuals and teams. It aggregates multiple MCP servers into a single endpoint, providing unified access to tools and resources for AI clients.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is MCPJungle?

MCPJungle is a self-hosted Model Context Protocol (MCP) gateway designed for both individual developers and teams. It centralizes access to various MCP servers, allowing AI clients to connect to a single endpoint for all their tools, prompts, and resources. This eliminates the need for clients to connect to each MCP server separately, addressing issues like scattered tools, duplicated access control, and lack of centralized visibility. MCPJungle offers a unified control layer for discovery, access management, and observability of AI tools. It supports both streamable HTTP and STDIO-based MCP servers and can be deployed locally using Docker Compose or as a shared, governed infrastructure for teams, scaling from simple setups to enterprise-grade deployments.

Best used for

Ideal for developers and data scientists who need to centralize access to various AI tools and resources, manage multiple MCP servers efficiently, and provide a single endpoint for AI clients. Especially valuable for teams looking to establish a shared, governed AI tool infrastructure.

Common actions

manage AI tools

unify AI endpoints

deploy AI infrastructure

control AI access

face swapping"AI Agents"open-sourceworkflowsgithub copilotdeepfakeautomated workflowcollaborationlow-code/no-code

Capabilities

Key features

Self-hosted MCP gateway
Aggregate MCP servers
Unified tool access
Centralized access control
Docker deployment
CLI for management

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the Model Context Protocol (MCP) that MCPJungle uses?

The Model Context Protocol (MCP) is a standard for AI agents to discover and interact with tools. MCPJungle acts as a gateway, aggregating multiple MCP servers so that AI clients can access a wide range of tools through a single, unified endpoint, simplifying integration and management.

Can MCPJungle be used for both individual and team deployments?

Yes, MCPJungle is designed to scale from individual local setups to shared, governed deployments for teams. It can be run locally using Docker Compose for personal use or deployed as a shared infrastructure for organizations requiring centralized AI tool access and management.

What types of MCP servers can be registered with MCPJungle?

MCPJungle supports registering both streamable HTTP-based and STDIO-based MCP servers. This flexibility allows users to integrate a wide variety of AI tools and services, regardless of their underlying transport mechanism, into a single gateway.

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