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rafter-mcp

by 0xksure
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Remote

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: auxly-memory-cli

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.

Links

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

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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