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mcp-bridge

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mcp-bridge

This configuration launches an MCP server in Docker that internally calls the llama.cpp OpenAI-compatible API.

Startup

docker compose up -d --build

Related MCP server: SwiftOpenAI MCP Server

Shutdown

docker compose down

Connection Details

  • MCP endpoint: http://localhost:8000/mcp

  • Transport: streamable-http

Connection Verification

Even if a 406 is returned, it is normal as a reachability check. This is because the MCP endpoint requires an Accept header.

curl -i http://localhost:8000/mcp

Claude Code Configuration

Claude Code's MCP is managed in ~/.claude.json.

If you are configuring it manually for a local scope (specific project only), please apply the format of client-config.example.json to ~/.claude.json.

Recommended: Add via CLI

claude mcp add --transport http local-agent-helper http://localhost:8000/mcp

Verify Configuration

claude mcp list
claude mcp get local-agent-helper

Notes

  • Adding --scope user makes it available for all projects.

  • Using --scope project saves it to .mcp.json directly under the project.

Environment Variables

You can copy .env.example to .env to use it.

  • MCP_TRANSPORT (Default: streamable-http)

  • FASTMCP_HOST (Default: 0.0.0.0)

  • FASTMCP_PORT (Default: 8000)

  • LLAMA_CPP_SERVER_URL

  • LLAMA_CPP_SERVER_MODEL

  • LLAMA_CPP_SERVER_TIMEOUT

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

Related MCP Connectors

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