agents.hellobooks.ai

claude mcp add --transport http hellobooks https://agents.hellobooks.ai/mcp

claude mcp add hellobooks-local node /path/to/HelloBooks-MCP-Public/dist/stdio.js

- Read-only by construction.No tool mutates state. No tool reaches a customer system.
- Public data only.All catalog content is sourced from the public marketing site.
- No authentication.Intentional — this is a knowledge endpoint.
- Rate-limited.120 req/min per IP, 60 req/min per session.
- Audit gate.npm run audit:public-datablocks deploys if any PII / auth token strings appear insrc/data/.

npm install npm run dev # HTTP server on :8080 with watch mode npm run dev:stdio # stdio transport for local MCP client testing npm test # node:test runner npm run build npm run audit:public-data

src/ data/ # Static catalogs — plans, integrations, countries, articles, about tools/ # One file per MCP tool resources/ # MCP resource registry server.ts # MCP server factory (wires tools + resources) http.ts # Streamable HTTP transport with rate limiting stdio.ts # stdio transport entry point test/ tools.test.ts resources.test.ts public-data.test.ts # Audit gate scripts/ audit-public-data.ts # CI-callable audit

Containerised — seeDockerfile. Designed to run behind a TLS-terminating load balancer. SetPORTandHOSTvia environment.

Optional anonymous usage telemetry (Layer-2 server-side analytics) is sent to GA4 via the Measurement Protocol whenGA4_MEASUREMENT_IDandGA4_API_SECRETare both set — see.env.exampleandsrc/analytics.ts. Leave them unset and the server runs with telemetry fully disabled. No customer data, request bodies, tool-argument values, or IP addresses are ever sent — only anonymous counts. See strategy doc 73.

docker build -t hellobooks-mcp-public . docker run -p 8080:8080 hellobooks-mcp-public

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