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RampMCP Server
Summary
Ramp's official remote MCP server for corporate spend — read transactions, bills and reimbursements, and with the right role edit, approve and lock cards.
Features
- Hosted endpoint at https://mcp.ramp.com/mcp, plus a demo server with sample data
- Read transactions, bills, reimbursements, card status, balances, trips and org data
- Write actions: edit and categorise transactions, lock/unlock cards, submit reimbursements, approve requests
- Inherits the signed-in user's Ramp permissions — no broader access than the UI grants
- Admin or Business Owner required for company-wide tools
Installation
Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.
Description
Ramp publishes a hosted MCP server that exposes a company's spend data — and, for users with the right role, the actions that change it — to any MCP-compatible client.
Connecting
The endpoint is https://mcp.ramp.com/mcp, with https://demo-mcp.ramp.com/mcp serving sample data for testing. You sign in to Ramp during setup; Claude and ChatGPT offer one-click installation from their directories, Notion connects via its connector marketplace, and coding agents can go through the Ramp CLI.
The permission model
This is the part that matters: your Ramp permissions come with you. The client can only see data and take actions the signed-in user could already perform in the Ramp UI. Company-wide operations require Admin or Business Owner, and access can be narrowed further by role, department or user from the Ramp admin panel.
What it can do
Read — search transactions, view bills and reimbursements, check card status and balances, look up trips and bookings, read account balances and organisational data.
Write — edit transaction memos, categories and assignments; lock, unlock and activate cards; submit and edit reimbursements; approve purchase orders and requests; post comments with user mentions; create trips.
History
Ramp's earlier self-hosted ramp-mcp Python server (MIT, on GitHub) loaded API data into an ephemeral SQLite database and let the agent run SQL over it, working around token limits with an ETL step. That repository was archived in July 2026 in favour of the hosted server documented here — worth knowing if you find it in an older guide.
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