TianGong AI MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@TianGong AI MCPlist available streaming models"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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: 2026-04-29 lastReviewedCommit: 04a3868c3b259fd4fe32b35b8198e20bbf4f329c
TianGong-AI-MCP
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-httpLocal 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.jsLaunch the Inspector separately when interactive MCP inspection is needed.
Launch MCP Inspector
npx @modelcontextprotocol/inspectorThis server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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MCP directory API
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/linancn/tiangong-ai-mcp'
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