
REST endpoints
Fully documented REST API for sources, updates, redlines, classifications, obligations, impact assessments, country data, and workspace configuration.
A typed REST and webhook API to wire Qalico into your QMS, RIM, or data warehouse, and an MCP server so Claude, ChatGPT, and any compatible AI agent can query live regulatory data natively.

how it works
Most QA/RA tooling lives in silos: a dashboard for monitoring, another for change control, a spreadsheet for impact assessments. The Qalico API closes the loop — pulling structured updates into your system of record and triggering downstream workflows the moment a relevant change is detected. The MCP server takes it one step further, exposing the same intelligence as tools any AI agent can call, with cited responses and full audit trail.

Fully documented REST API for sources, updates, redlines, classifications, obligations, impact assessments, country data, and workspace configuration.

Subscribe to new updates, redlines, or triaged items and receive structured payloads at your endpoint — no polling required.

First-party TypeScript and Python SDKs with full type coverage. Auto-generated from the OpenAPI spec so they stay in sync with the API.

Add the Qalico MCP server to your Claude Desktop or ChatGPT MCP config with a single entry. Your assistant immediately gains regulatory query tools.

Exposes structured MCP tools — search_regulations, get_redline, list_obligations, find_agency — so agents reason over regulatory data rather than guessing from training cutoffs.

Every MCP response includes source URLs and document versions, so AI-generated regulatory answers are traceable end-to-end.
Included on every paid Qalico plan. Talk to us to scope your integration and provision tokens for your workspace.