Make your software dependable for AI agents.
Knotbind checks whether an agent can discover, authorize and use your software, then keeps the connection working as your API changes.
Connect an MCP server. See one real Run.
Start with the public readiness check, then connect a server through the API or dashboard. Knotbind discovers the tools, suggests contract Checks for them, and the Owner approves the ones worth running. The first passing Run records a Baseline.
Choose a path
Open the public demo
Sign in to a shared workspace, or break a private copy from the demo page.
02Connect by API
Sign up, connect an MCP server and start monitoring without opening the dashboard.
03Connect an assistant
Use OAuth 2.1 or the relay URL with Claude, ChatGPT, Cursor or any MCP client.
04Watch your MCP servers
Several servers, contract Checks, Baselines, workflows and drift alerts.
What Knotbind does
| Stage | What happens | Evidence |
|---|---|---|
| Discover | Find tools and public agent metadata. | tools/list, llms.txt, OpenAPI |
| Check | Call approved capabilities on a schedule. | Run with status, latency and response preview |
| Explain | Open a Finding with diagnosis and a repair proposal. | Audit Record and Sandbox verification |
| Approve | Keep production changes with the Owner. | Approval and deployment audit trail |