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AI agent workflow

Give an agent trusted SEO context without giving it unlimited authority

Crawlvero is designed as the evidence and policy layer an assistant can query before proposing, applying, and verifying SEO changes.

Sign in on the Web

How agent access is being built

Shared use cases

Web, REST, and MCP call the same workspace-aware application services instead of maintaining a weaker second backend.

Read before action

An agent can retrieve the latest audit, evidence, affected URLs, and a typed fix plan before any mutation is considered.

Permission and quota gates

Expensive or mutating tools must pass membership, role, entitlement, active-job, and usage checks on the server.

Verify after change

A fix workflow should rerun the relevant checks and report what changed rather than declaring success from generated text.

Local tools and read-only OAuth pilot available

Local stdio MCP tools work with compatible developer clients. The hosted MCP endpoint can securely read the signed-in user's accessible workspace data; real-client verification and all remote actions remain gated.