MCPJungle

MCPJungle is a single‑source‑of‑truth registry for all Model Context Protocol (MCP) servers that an organization runs. It acts as a unified gateway, allowing AI assistants such as Claude or Cursor to discover and invoke any tool exposed by internal MCP servers without needing to know each server’s individual endpoint or configuration. By centralizing the discovery and management of tools, MCPJungle removes duplication, simplifies onboarding, and provides a clear audit trail for tool usage across the enterprise.

For developers building AI agents that rely on external services, MCPJungle eliminates the need to manually maintain a list of tool URLs or authentication tokens. Instead, developers register each MCP server once—specifying whether it is streamable HTTP or STDIO based—and the gateway automatically exposes all of its capabilities. The gateway can also enable or disable tools globally, group related tools for easier navigation, and enforce access control policies so that only authorized agents or users can invoke specific functions. This level of fine‑grained control is especially valuable in regulated environments where data privacy and compliance are paramount.

Key capabilities include:

• Central registration of multiple MCP servers, each with its own set of tools and prompts.
• Unified discovery API that returns a consolidated list of available tools, simplifying client integration.
• Global tool management, allowing administrators to toggle visibility or restrict usage without touching individual servers.
• Tool grouping for better organization and discoverability in the client UI.
• Built‑in security features, such as authentication handling, access control lists, and optional OpenTelemetry integration for observability.

Real‑world use cases span from internal support bots that need to call a variety of knowledge‑base services, to customer‑facing AI assistants that must interact with external APIs while keeping the API keys and endpoints hidden from end users. In a production setting, MCPJungle can be deployed in a private data center or cloud VPC, ensuring that all tool‑calling traffic stays within the organization’s network. By acting as a single point of entry, it also simplifies scaling: new MCP servers can be added or removed with minimal impact on the AI agents that rely on them.

Integrating MCPJungle into an AI workflow is straightforward for both developers and clients. Clients configure a single MCP server entry pointing to the gateway’s endpoint, and the gateway handles routing each tool call to the appropriate underlying MCP server. The result is a seamless experience where AI assistants feel as if they are calling local tools, while the underlying infrastructure remains decoupled and highly configurable.