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Lane’s MCP server lets any Model Context Protocol-compatible assistant — Claude, Cursor, Windsurf, and others — read your Lane workspace directly. Ask about your product data from wherever you already work: “what are our top signals from enterprise customers?”, “what’s planned for Acme?”, without copying anything into the prompt by hand. Access is read-only: the server lets tools query and retrieve, never create or change anything in Lane.

Availability

The MCP server is available on Pro and Business plans.

Connect

  1. Go to Settings → MCP Server.
  2. Copy your connection URL — it includes a private token that authenticates your workspace.
  3. Paste it into your assistant’s MCP configuration as a remote server.
That’s it — your tool can now query Lane. If you ever need to rotate access, use Regenerate to issue a new URL; the old one stops working immediately.
Your connection URL contains a token that grants read access to your workspace. Treat it like a password — don’t share it or commit it to a repo.

What it can access

The server exposes eight read-only tools across the four areas an assistant needs to answer product questions. Each area has a search tool (find matching records) and a get tool (pull one record in full): Searches accept filters like a customer name, so an assistant can answer account-specific questions (“what does Acme want?”) by scoping to that customer.

FAQs

Q: Can an assistant change my data through MCP?
A: No. Every tool is read-only — it can search and retrieve, but never create, edit, or delete.
Q: Which tools does it expose?
A: Eight — a search and a get for each of Signals, Feedback, Plans, and Customers.
Q: Are private Plans exposed?
A: No. Only workspace-visible and public Plans are returned; private drafts stay private.
Q: How do I revoke access?
A: Regenerate the connection URL in Settings → MCP Server. The previous URL stops working right away.
Q: What’s the difference between this and the API?
A: MCP is for AI assistants to read your workspace conversationally. The API is for programmatic integrations that create feedback and read signals.