MCPSERV.CLUB
mcpjungle

MCPJungle

MCP Server

Central MCP Gateway for Private AI Agents

Active(80)
599stars
1views
Updated 12 days ago

About

MCPJungle is a self‑hosted, single source‑of‑truth registry that lets developers register, manage, and secure Model Context Protocol servers. Clients discover all tools through a single gateway for streamlined AI agent integration.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

MCPJungle Architecture Diagram

MCPJungle is a self‑hosted gateway that consolidates all Model Context Protocol (MCP) servers within an organization into a single, authoritative registry. By acting as the sole MCP entry point for AI agents, it removes the need for each assistant to maintain separate connections to multiple tool providers. Developers and operators can register, update, or retire MCP servers through a unified interface, ensuring that every AI client—whether Claude, Cursor, or custom agents—has consistent and up‑to‑date access to the same set of tools.

For developers building production‑grade AI agents, MCPJungle provides built‑in security and privacy controls. Access to underlying MCP servers can be restricted through role‑based permissions, ensuring that only authorized agents or users invoke specific tools. The gateway also supports authentication mechanisms and can be deployed within an organization’s own data center, giving enterprises full control over data residency and compliance requirements. In addition, the server can expose a single HTTP endpoint that proxies calls to multiple back‑end MCP servers, simplifying network configuration and reducing firewall complexity.

Key capabilities include:

  • Central registration of streamable HTTP‑based and STDIO‑based MCP servers, enabling quick onboarding without code changes in client agents.
  • Global tool enable/disable controls and tool groups that let teams curate collections of tools for different use cases or user roles.
  • Enterprise features such as fine‑grained access control, OpenTelemetry integration for observability, and support for custom authentication flows.
  • Seamless client discovery: MCP clients automatically query the gateway to retrieve a catalog of available tools, eliminating manual configuration.

Typical use cases span from internal data‑science teams that expose custom analytics services as MCP tools, to SaaS vendors who want to offer a unified tool set across multiple AI platforms. A data‑engineering team can register an MCP server that wraps a Spark cluster; any Claude or Cursor instance connected to MCPJungle can then invoke data‑processing tools without needing direct cluster access. Similarly, a security operations center can expose threat‑intel feeds as MCP tools, allowing incident‑response agents to fetch real‑time alerts through a single gateway.

By centralizing MCP server management, MCPJungle streamlines AI workflows, enforces consistent security policies, and dramatically reduces operational overhead for both developers and end users.