Manage incidents from
Claude Code, Cursor, or VS Code
Your AI agent already knows your codebase. Now it can create incidents, page on-call engineers, and track resolution through Runframe. No new tool to learn.
Your agent already knows your system better than ours ever will.
The agent running in your IDE has read your codebase, seen your commits, and helped you debug at 2 AM. It knows your deploy history and your architecture. It just can't create an incident, page someone, or update a timeline. Runframe fixes that.
What your agent can do with Runframe
18 tools across the full incident lifecycle.
One-line MCP setup
npx @runframe/mcp-server --setup. Works with Claude, Cursor, Windsurf, VS Code. One config file, no custom integration.
Create and manage incidents
Declare incidents with severity, change status, acknowledge, update, and resolve. All through structured MCP calls.
Page on-call engineers
When the agent detects something it can't fix alone, it pages the on-call engineer. Slack DM, email, and escalation policies all apply.
Write to the timeline
Agents add investigation findings, log links, and remediation steps to the incident timeline. The human responder walks in with full context.
Check on-call and escalation
Look up who is on-call for a service, check escalation policies, list teams. The agent knows who to page before it pages them.
Create postmortems
After resolution, agents can create postmortem drafts from incident data. Timeline, impact, and action items are already captured.
How it works
Install the MCP server
npx @runframe/mcp-server --setup. It writes the config file for your AI tool. Takes 30 seconds.
Agent detects an issue
Your monitoring agent, CI pipeline, or coding assistant spots a problem. It creates an incident via MCP with severity and context.
On-call is paged
Runframe pages the on-call engineer via Slack and email. The agent's findings are already on the timeline.
Captive vs. open
Frequently asked questions
Your agent. Your models. Our incident API.
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