mcp-bridge
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
mcp-bridge
This configuration launches an MCP server in Docker that internally calls the llama.cpp OpenAI-compatible API.
Startup
docker compose up -d --buildRelated MCP server: FastMCP
Shutdown
docker compose downConnection Details
MCP endpoint:
http://localhost:8000/mcpTransport:
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/mcpClaude 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/mcpVerify Configuration
claude mcp list
claude mcp get local-agent-helperNotes
Adding
--scope usermakes it available for all projects.Using
--scope projectsaves it to.mcp.jsondirectly 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_URLLLAMA_CPP_SERVER_MODELLLAMA_CPP_SERVER_TIMEOUT
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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This server cannot be deployed
Maintenance
Related MCP Connectors
MCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloud
Talk to your public-facing AI from any MCP client — Claude, ChatGPT, Cursor, Cline, Windsurf.
An MCP server that provides an API to LLMs to manage their JumpCloud resources.
MCP server for AI dialogue using various LLM models via AceDataCloud
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