Connect Rafter to Cursor
Three lines in mcp.json and Cursor's agent can search your team's shared memory, follow its skills, and save decisions back — across every repo you open.
Add Rafter to mcp.json
Add this to
~/.cursor/mcp.json(or a project’s.cursor/mcp.jsonto scope it), then reload Cursor.{"mcpServers":{"rafter":{"url":"https://app.heyrafter.xyz/api/mcp"}}}Cursor Settings → MCP shows the server and its tools once it loads.
Sign in and pick a workspace
Cursor opens your browser to sign in on the first Rafter call — Google, GitHub, or email — and you pick the workspace to connect.
Ask something your team already knows
In agent mode, try “Check Rafter first: how do we handle migrations?” — the agent calls Rafter’s search tool before improvising.
Your first five minutes
The connection is the easy part. The habit is what pays: make Cursor check the shared brain before it improvises. Three things to try in Cursor:
- “What do we know about [a client or project]?”Rafter’s search answers from your team’s actual notes — with what they cite.
- “How do we [something a teammate has done before]? Follow the skill if we have one.”Skills are the team’s way of doing it, taught once and reused.
- “Save this as a memory: [a decision you just made].”Written back with add_memory — versioned, searchable, there for the next person.
To make it automatic, paste this line into Cursor’s project or system instructions:
Check Rafter first: search our skills and memories before you answer, and save anything durable back with add_memory.
A longer startup prompt and a ready-made Claude Code skill live in the rafter-mcp repo.
Troubleshooting
Rafter doesn't show up in Cursor
Check Cursor Settings → MCP: the server should be listed with its tools. If not, verify the JSON is valid and fully restart Cursor rather than reloading the window.
Which workspace should I pick when signing in?
The one whose skills and memories you want this tool to see. A connection sees exactly what you can see — your teams and your role — never more. You can connect again later and grant a different workspace.
Is my team's content used to train AI models?
No. Rafter does not use your content to train generalized or foundation models — see the privacy policy.
Give your whole team the same brain.From $9.99 per user — see pricing.
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