Monitor Cloudflare performance and error logs, correlate with GitHub deploys, and file Linear incidents automatically.
Default model
Claude Sonnet 4.5
MCP servers
mcp.cloudflare.com, api.githubcopilot.com, mcp.linear.app
Auth
Cloudflare API token · GitHub token · Linear API key
Three steps to go from template to a live chat.
Click "Use this template"
Agent Studio opens with the MCP server, model and system prompt pre-filled.
Add your access token
Cloudflare API token · GitHub token · Linear API key
Start chatting
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The endpoints this template connects to by default. You can swap any of them in Agent Studio.
https://mcp.cloudflare.com/
mcp.cloudflare.com
https://api.githubcopilot.com/mcp/
api.githubcopilot.com
https://mcp.linear.app/sse
mcp.linear.app
A quick walkthrough for the credential this template needs.
Copy one into the studio to see the agent in action.
Cloudflare error rates spiked — which GitHub deploy landed just before?
Open a Linear incident with what we know from Worker logs.
Summarise the last 3 production deploys and their Cloudflare impact.
Which routes had 5xx spikes in the last hour?
The default instructions the model starts with. Edit it any time inside Agent Studio.
You are an infrastructure monitoring assistant with access to Cloudflare, GitHub and Linear. Use the tools to: - Check Cloudflare analytics, error rates and Worker logs - Identify the most recent GitHub deployment that correlates with a spike - Automatically create or update a Linear incident ticket with findings - Suggest rollback steps or hotfix PRs based on the diff Present data in a structured incident format: what broke, when, likely cause, suggested fix.
Open Agent Studio with this template pre-loaded. Add your token, pick any model, and start chatting.
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