Developer tools integration

Railway integration for AI agents

Insiro connects AI agents to Railway so they can act in it under your rules. Railway is a deployment platform for building, shipping, and scaling applications with managed infrastructure. It helps teams deploy faster with instant builds, automatic scaling, and simple project operations. Every Railway action runs through Insiro's governed gateway, using each person's own connection (OAuth 2.0 or API key).

What can AI agents do with Railway?

With Insiro, agents can open issues and pull-request summaries, triage errors and alerts into the backlog, read logs and deployment history during an incident and draft release notes from merged work, all inside the permissions you set for Railway.

  • Open issues and pull-request summaries.
  • Triage errors and alerts into the backlog.
  • Read logs and deployment history during an incident.
  • Draft release notes from merged work.

A journey through Insiro

Railway logo RailwayInsiroLinear

Example: Railway → Insiro → Linear to file new errors as triaged issues. Insiro checks permissions, applies approvals and records the evidence at every hop.

Frequently asked questions about Railway

Can Insiro AI agents use Railway?

Yes. Insiro connects AI agents to Railway through its governed MCP gateway. Agents can open issues and pull-request summaries and triage errors and alerts into the backlog using each person's own Railway access, with read-only as the default and approvals for actions that change data.

How does Insiro connect to Railway?

Railway connects with OAuth 2.0 or API key. Each user connects their own account once; Insiro stores the credential encrypted and brokers it to the tool only at the moment of a call, so models never see it. Admins can also register a workspace-level connection.

Can I make Railway read-only for agents?

Yes. In Insiro Governance, set Railway to Off, Read only, or Read and write in a click. Write actions can require confirmation or owner approval by risk tier, and every call is logged with the user, tool, tokens and cost.

Put Railway to work with governed AI agents.

A 30-minute working session: we connect one data source and one app, then run a governed agent on a task you choose.

  • 13governance checks on every agent tool call
  • 1,700+SaaS apps agents can act in
  • 30+data dialects for plain-English questions