Ramp
Interact 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.
관련 서버
Memento Protocol
Persistent memory for AI agents — store what matters, recall by meaning, skip the rest
FluentLab Funding Assistant
An assistant API to help find and apply for funding opportunities.
Zotero
Access and manage your Zotero library data via the local or web API.
Pulsetic MCP Server
The Pulsetic MCP Server connects Pulsetic monitoring with AI agents and MCP-compatible tools, enabling direct access to uptime data, cron monitoring results, incident management workflows, and status page information through the Model Context Protocol (MCP). It allows teams to securely expose operational monitoring data in a structured format, making it easy to build AI-driven automation, monitoring assistants, and intelligent operational workflows without custom middleware.
macOS Utilities
Provides macOS utility tools for AI assistants, including sending native notifications with project context.
WordPress MCP
A Model Context Protocol (MCP) server that gives AI agents full control over WordPress sites. 46 tools for posts, pages, media, SEO, comments, redirects, blocks, patterns, TablePress, and more.
Kanka MCP Server
A MCP server to manage entries in Kanka platform.
TaskMaster Todoist
An MCP server for integrating Todoist with Cursor AI. Requires a Todoist API token.
McpMux
McpMux — configure MCP servers once, connect every AI client through one local gateway.
Cursor Admin
Monitor team productivity, usage, and spending for AI assistants using the Cursor Admin API.