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Rafter — shared memory, skills and agents for your team

Rafter is a hosted MCP server that gives your whole team one shared brain across the AI tools you already use. Capture how your team actually solves tasks — as memories, skills and agents — and every teammate's Claude, Cursor or ChatGPT session starts with that context instead of a blank slate.

https://app.heyrafter.xyz/api/mcp

Remote server, Streamable HTTP transport, OAuth 2.1 sign-in (browser flow, dynamic client registration — no API keys to paste).

Connect

Claude Code

claude mcp add --transport http rafter https://app.heyrafter.xyz/api/mcp

Claude Desktop / claude.ai — Settings → Connectors → Add custom connector → paste https://app.heyrafter.xyz/api/mcp.

Cursor — add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "rafter": { "url": "https://app.heyrafter.xyz/api/mcp" }
  }
}

ChatGPT — Settings → Connectors → enable Developer mode → Create a connector with the same URL.

Anything else that speaks MCP — point it at the URL above; the server handles the OAuth dance.

First connection opens a browser sign-in (Google, GitHub or email) and a consent screen scoped to one of your workspaces.

Related MCP server: BaseMouse

Tools

Tool

What it does

search

Full-text + entity search across your workspace's memories, skills and agents

fetch

Fetch one artifact with its graph edges (cites, cited_by, links) to follow

add_memory

Write a durable team learning back from any session

upsert_artifact

Create or update a skill / agent / memory (versioned)

get_artifact / list_artifacts / delete_artifact

Read, browse and remove artifacts

create_workspace / create_team

Set up shared spaces

invite_users / list_members / set_member

Bring the team in, manage roles

whoami

Current user + workspace context

Artifacts are versioned, and [[wiki links]] between them resolve into a real graph — so fetch returns not just the document but what it cites and what cites it.

What teams use it for

  • Stop repeating yourself: decisions, conventions and gotchas written once, recalled in every teammate's session.

  • Turn one person's workflow into everyone's skill: capture the steps that worked, run them from any MCP client.

  • Onboarding: new teammate connects, asks "how do we do X here", gets the team's actual answer.

Install the Rafter skill

Two ready-to-use files make your AI actually use the shared brain instead of guessing:

  • skill/SKILL.md — a Claude Code skill: drop it into .claude/skills/rafter/SKILL.md in your project (or ~/.claude/skills/rafter/) and your agent searches Rafter before answering "how do we do this" questions, and writes learnings back.

  • examples/startup-prompt.md — a startup prompt to paste into any tool's project/system instructions for the same behavior without skill support.

The hosted server itself is closed-source; this repository is its public home — docs, connect snippets, and the place to open an issue.

Maintenance

ActivityStale
ResponsivenessNo issues

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