AI AGENT INTEGRATION
Give AI agents a data-quality checkpoint.
Zorqelio exposes a remote Model Context Protocol (MCP) endpoint for structured JSON validation, private versioned contracts and monitoring workflows. Connect a compatible client, then apply explicit policies before agents act on external data.
Connect over MCP
Remote endpoint: https://zorqelio.xyz/mcp
Transport: Streamable HTTP with JSON responses. Client compatibility and authentication depend on the selected tool.
Validate data before action
Check JSON structure and required fields before passing tool responses into agent workflows. Schema compliance does not prove factual accuracy or authorization.
Check readiness and freshness
Use configured monitor evidence to assess whether critical sources are recent enough for automation. Enforce ALLOW, WARN and BLOCK outcomes in application code.
How to connect
- Open an MCP-compatible client that supports remote Streamable HTTP servers.
- Add the server URL
https://zorqelio.xyz/mcp. - Inspect the available tools and their authentication requirements.
- Try a non-destructive validation tool before connecting a production workflow.
- Apply your own authorization, error handling and spend limits.
For pricing, quotas and paid endpoints, see current pricing. Zorqelio is not an AI model or autonomous agent runtime.
Common questions
Can AI agents discover Zorqelio?
Yes. Agents and developers can discover this public documentation, machine-readable catalog and MCP server manifest. Third-party registry inclusion requires a separate publication process.
Is it free to connect?
Reading documentation and the public catalog does not require a subscription. Some tools require workspace credentials, and paid endpoints have separate charges. See pricing before use.
Does validation repair bad data?
No. Validation reports whether data satisfies configured rules; it does not independently verify the truth of upstream data or repair it automatically.