Ramp
oficialInteract 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.
Servidores relacionados
Kone.vc
patrocinadorMonetize your AI agent with contextual product recommendations
TalkToAnki
Seamlessly integrate the Anki flashcard application with AI assistants. Requires Anki desktop with the AnkiConnect plugin.
DAISYS
Generate high-quality text-to-speech and text-to-voice outputs using the DAISYS platform.
PyApple MCP Tools
Python tools for MCP that integrate with native Apple applications like Messages, Notes, Mail, and more on macOS.
VideoZero
Generate 2D animations and full explainer videos with VideoZero. Create engaging kinetic typography, illustrative charts, or animate complex algorithms and formulas.
Audiense Insights
Marketing insights and audience analysis from Audiense reports, covering demographic, cultural, influencer, and content engagement analysis.
macOS Remote Control
A Python server for remote macOS control via VNC, featuring an AI-powered chat web interface.
Apple Books
Access and manage your library on Apple Books.
Shannon Thinking
A tool for systematic problem-solving based on Claude Shannon's methodology, breaking down complex problems into structured thoughts.
Cursor Admin
Monitor team productivity, usage, and spending for AI assistants using the Cursor Admin API.
DalexorMI
Dalexor MI is an advanced project memory system designed to provide AI coding assistants with **Contextual Persistence**. Unlike standard RAG (Retrieval-Augmented Generation) systems that perform surface-level keyword searches, Dalexor MI maps the **logical evolution** of a codebase, tracking how symbols, dependencies, and architectural decisions shift over time.