TianGong AI MCP
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.
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: 2026-10-12 lastReviewedCommit: aabaceef96a38b0d23394e2da771b4fc2a213be0
TianGong-AI-MCP
GitHub organization migration / GitHub 组织迁移
This original repository now belongs to the tiangong-ai organization, with its repository identity and history retained. The CLI package @tiangong-ai/cli and command tiangong-ai are unchanged. Wiki is now published as @tiangong-ai/wiki; its commands remain unchanged. See the migration and upgrade notes.
该仓库已迁入 tiangong-ai 组织,仓库身份与历史保留。CLI 包名 @tiangong-ai/cli 和命令 tiangong-ai 不变;Wiki 新包名为 @tiangong-ai/wiki,命令不变。升级方式见迁移说明。原个人账号 tiangong-ai-legacy 保留历史;请自行 Follow 新组织。
TianGong AI Model Context Protocol (MCP) Server supports Streamable Http protocol.
Related MCP server: OpenAPI MCP Server
Education graph retirement
The education knowledge graph service has been retired. The current source-built MCP server no longer advertises Search_Edu_Graph_Tool; clients must remove calls to that tool. Search_Edu_Tool continues to search education resources and does not provide graph traversal.
Previously published npm packages are not changed retroactively; npm publication is independent of this source-image deployment.
Service Deployment
GitHub CI builds reviewed main source into an ARM64 image and deploys its exact ECR digest to the existing ECS service with OIDC. See the deployment runbook for verification and rollback.
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 deployed
Maintenance
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