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Documentation Index

Fetch the complete documentation index at: https://docs.mcpjungle.com/llms.txt

Use this file to discover all available pages before exploring further.

This quickstart guide will show you how to:
  1. Start the mcpjungle server locally using docker compose
  2. Add the context7 MCP server in mcpjungle
  3. Connect your Claude Desktop to mcpjungle to access tools

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Start the server

Fetch the docker-compose.yaml and start the mcpjungle server: 
curl -O https://raw.githubusercontent.com/mcpjungle/MCPJungle/refs/heads/main/docker-compose.yaml
docker compose up -d
This exposes mcpjungle’s streamable http mcp server at http://localhost:8080/mcp by default.

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Add an MCP server

  1. Download the mcpjungle CLI on your local machine either using brew or directly from the Releases Page.
brew install mcpjungle/mcpjungle/mcpjungle
  1. Add the context7 MCP server to mcpjungle using the CLI:
mcpjungle register --name context7 --url https://mcp.context7.com/mcp
You should see output similar to this:

register context7 in mcpjungle

MCPJungle also includes a Dashboard UI at http://localhost:8080/. The dashboard is currently in Beta.

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Connect to mcpjungle

In your Claude Desktop, add the configuration for mcpjungle MCP server: 
{
  "mcpServers": {
    "mcpjungle": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "http://localhost:8080/mcp",
        "--allow-http"
      ]
    }
  }
}
Once you have added the configuration, try asking Claude something simple: 
Use context7 to get the documentation for `/lodash/lodash`
Claude will then attempt to call the context7__get-library-docs tool via Mcpjungle, which will return the documentation for the Lodash library.

claude calls context7 tool via mcpjungle

You now have a working MCP setup with a single unified endpoint.

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Next steps

Register more servers

Add HTTP and STDIO-based MCP servers to your gateway.

Connect other clients

Configure Cursor, Copilot, or a custom agent to use Mcpjungle.

Tool Groups

Expose curated subsets of tools to specific agents or clients.

Deploy to production

Run Mcpjungle in enterprise mode with access control and observability.