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TianGong AI MCP

by linancn
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docType: guide scope: repo status: current authoritative: true owner: mcp language: en whenToUse: "When installing, configuring, running, or integrating the TianGong AI MCP server." whenToUpdate: "When tool behavior, auth, environment variables, package metadata, build commands, or server startup changes." checkPaths:

  • AGENTS.md

  • .docpact/config.yaml

  • package.json

  • Dockerfile

  • .env.example

  • mcp_config.json

  • test.http

  • .github/prompts/**

  • README_CN.md

  • DEV_EN.md

  • DEV_CN.md

  • src/** lastReviewedAt: 2026-08-20 lastReviewedCommit: 56622587c4d1b421cf5e27ce2abc0e136b470f70

TianGong-AI-MCP

中文 | English

TianGong AI Model Context Protocol (MCP) Server supports Streamable Http protocol.

Starting MCP Server

Streamable Http Server

npm install -g @tiangong-ai/mcp-server@latest

npx dotenv -e .env -- \
npx -p @tiangong-ai/mcp-server tiangong-ai-mcp-http

Local Development Server

From this repository you can build and launch the HTTP server with:

npm run build
npx dotenv -e .env -- node dist/src/index_server.js

Launch the Inspector separately when interactive MCP inspection is needed.

Launch MCP Inspector

npx @modelcontextprotocol/inspector

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

ActivityMaintained
ResponsivenessNo issues

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