Ramp
chính thứcInteract with Ramp's Developer API to run analysis on your spend and gain insights leveraging LLMs
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.
process_dataexecute_queryclear_table
Fetch tools
Tools that can be used to fetch data directly
get_ramp_categoriesget_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
- Create a new client from the Ramp developer page (Profile on top right > Developer > Create app)
- Grant the scopes you wish (based on tools) to the client and enable client credentials (Click on App > Grant Types / Scopes)
- Include the client ID and secret in the config file as well as the scopes you wish to use
Local Setup
- Clone this Github repo via
git clone [email protected]:ramp/ramp-mcp.gitor equivalent - 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.
Máy chủ liên quan
Kone.vc
nhà tài trợMonetize your AI agent with contextual product recommendations
MCP Google Workspace Server
An MCP server for interacting with Google Workspace services, including Drive, Docs, and Sheets.
Xeams MCP Server
Validate email address and check that status of a previously sent email
ITGlue
Unofficial MCP server for the ITGlue API
mocoVoice MCP Server
Transcribe audio and video files using the mocoVoice API, with integration for Claude Desktop.
Todoist MCP
Manage your Todoist tasks and projects directly from your LLM.
TemplateFox
Generate PDF documents with TemplateFox
Tone
A team task management application for collaboration between humans and AI.
kObsidian
Filesystem first MCP server for Obsidian vaults with an LLM-Wiki layer on top.
Achriom
The media memory layer for AI agents and their humans. Track books, movies, music, shows, and anime.
SWOTPal — SWOT Analysis
Generate SWOT analyses, competitive comparisons, and browse 100+ pre-built industry examples for any company, brand, or topic. Supports 12 languages.