ramp-mcp: A Ramp MCP server

ramp-mcp: A Ramp MCP server avatar

by ramp-public

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ramp-mcp

What is ramp-mcp: A Ramp MCP server

ramp-mcp: A Ramp MCP server

Overview

A Model Context Protocol server for retrieving and analyzing data or running tasks for Ramp using Developer API. In order to get around token and input size limitations, this server implements a simple ETL pipeline + ephemeral sqlite database in memory for analysis by an LLM. All requests are made to demo by default, but can be changed by setting RAMP_ENV=prd. Large datasets may not be processable due to API and/or your MCP client limitations.

Tools

Database tools

Tools that can be used to setup, process, query, and delete an ephemeral database in memory.

  1. process_data
  2. execute_query
  3. clear_table

Fetch tools

Tools that can be used to fetch data directly

  1. get_ramp_categories
  2. get_currencies

Load tools

Loads data to server which the client can fetch. Based on the tools you wish to use, ensure to enable those scopes on your Ramp client and include the scopes when starting the server as a CLI argument.

Tool Scope
load_transactions transactions:read
load_reimbursements reimbursements:read
load_bills bills:read
load_locations locations:read
load_departments departments:read
load_bank_accounts bank_accounts:read
load_vendors vendors:read
load_vendor_bank_accounts vendors:read
load_entities entities:read
load_spend_limits limits:read
load_spend_programs spend_programs:read
load_users users:read

For large datasets, it is recommended to explicitly prompt Claude not to use REPL and to keep responses concise to avoid timeout or excessive token usage.

Setup

Ramp Setup

  1. Create a new client from the Ramp developer page (Profile on top right > Developer > Create app)
  2. Grant the scopes you wish (based on tools) to the client and enable client credentials (Click on App > Grant Types / Scopes)
  3. Include the client ID and secret in the config file as well as the scopes you wish to use

Local Setup

  1. Clone this Github repo via git clone [email protected]:ramp/ramp-mcp.git or equivalent
  2. Install uv

Usage

Run the MCP server from your CLI with:

RAMP_CLIENT_ID=... RAMP_CLIENT_SECRET=... RAMP_ENV=<demo|prd> uv run ramp-mcp -s <COMMA-SEPARATED-SCOPES>

Configuration

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "ramp-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/<ABSOLUTE-PATH-TO>/ramp-mcp", // make sure to update this path
        "run",
        "ramp-mcp",
        "-s",
        "transactions:read,reimbursements:read"
      ],
      "env": {
        "RAMP_CLIENT_ID": "<CLIENT_ID>",
        "RAMP_CLIENT_SECRET": "<CLIENT_SECRET>",
        "RAMP_ENV": "<demo|qa|prd>"
      }
    }
  }
}

If this file doesn't exist yet, create one in /<ABSOLUTE-PATH-TO>/Library/Application Support/Claude/

License

Copyright (c) 2025, Ramp Business Corporation All rights reserved. This source code is licensed under the MIT License found in the LICENSE file in the root directory of this source tree.

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.