MCP Server. Connect any external Model Context Protocol server.
Connect your own MCP-compatible server (GitHub MCP, Linear MCP, or any server following the Model Context Protocol). Tools exposed by connected servers become available to the Polylane thread agent automatically.
Join the waitlistWhat Polylane does with MCP Server.
Your tools in the agent's hands
Connect any MCP-compatible server and its tools show up mid-investigation, next to the built-in observability, graph, and code tools.
Anything that speaks the protocol
GitHub MCP, Linear MCP, an internal server you wrote last week: if it follows the Model Context Protocol, agents can use it.
On the record like everything else
Calls to your MCP tools land in the thread transcript with their results, cited like every other piece of evidence.
How it works.
Connect
Point Polylane at your server's URL. OAuth and API-key servers both work.
Tools are discovered
The server's tools are enumerated and become available to the thread agent automatically.
Agents reach for them
Mid-investigation, your tools sit alongside the built-in ones, and every call is on the record.
Questions.
Is Polylane an AI SRE for MCP servers?
It's what most people mean by the term: agents that reach any tool you expose over the Model Context Protocol. Alongside every other provider in your workspace, they investigate issues and fix what they can. We call it self-operating software rather than an AI SRE: the point is that your software looks after itself, not that a bot joins the on-call rotation.
How does Polylane work with MCP servers?
Connect your own MCP-compatible server (GitHub MCP, Linear MCP, or any server following the Model Context Protocol). Tools exposed by connected servers become available to the Polylane thread agent automatically.