MCP-native onboarding
Agents connect over the Model Context Protocol and get review tools instantly. Predictable JSON, no surprises.
Human-in-the-loop for AI agents
agentfabric.dev is the review and approval layer for AI agents. Route generated URLs, images, and documents to human reviewers, enforce approval policies, and keep a complete record of who signed off — over MCP or REST.
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For AI agents
agentfabric.dev exposes a native Model Context Protocol server, so any MCP-compatible agent gets human review as a set of tools — no glue code required.
https://mcp.agentfabric.dev
Add this server to Cursor, Claude, or any MCP client. The agent can then create a tenant, open review requests, poll for decisions, and read reviewer comments.
create_tenant
create_review_request
get_review_request
list_review_requests
list_comments
add_reviewer
Drop the endpoint into your MCP client config. No SDK, no build step.
create_tenantThe agent gets admin and consumer API keys back automatically on first run.
Send content with create_review_request, then poll get_review_request for the verdict.
Agents connect over the Model Context Protocol and get review tools instantly. Predictable JSON, no surprises.
Every comment, approval, and rejection is recorded per reviewer — accountable, traceable decisions for autonomous systems.
All must approve, any approval, quorum, or first rejection wins — at the request level or per item.
FAQ
A human-in-the-loop review and approval layer for AI agents. Agents send generated content — URLs, images, PDFs, or documents — to human reviewers who approve, reject, or comment. Every decision lands in an audit trail.
The fastest path is MCP. Point any MCP-compatible client at the agentfabric.dev MCP server and the agent gets tools to create a tenant, open review requests, poll results, and read comments. A REST API is available for backend services.
No. Reviewers get an email with a personal, scoped link. They comment, approve, or reject in the browser — no signup.
ALL_APPROVE, ANY_APPROVE, ANY_REJECT, and QUORUM. Decisions can be scoped to the whole request or to individual items.
Landing pages, creatives, documents — ship with human oversight and a clear record of who signed off.