Overview
What is ramp-mcp?
Ramp-mcp is a Model Context Protocol server designed for retrieving and analyzing data or running tasks for Ramp using the Developer API. It implements an ETL pipeline and an ephemeral SQLite database for analysis by an LLM.
How to use ramp-mcp?
To use ramp-mcp, set up a Ramp client, clone the GitHub repository, and run the MCP server from your CLI with the necessary environment variables and scopes.
Key features of ramp-mcp?
- ETL pipeline for data processing
- Ephemeral SQLite database for in-memory analysis
- Tools for fetching, processing, and loading data
Use cases of ramp-mcp?
- Analyzing financial transactions and reimbursements.
- Managing and querying large datasets efficiently.
- Integrating with Ramp's Developer API for enhanced data capabilities.
FAQ from ramp-mcp?
- What is the purpose of ramp-mcp?
It serves as a server for data retrieval and analysis using Ramp's Developer API.
- How do I set up the Ramp client?
Create a new client on the Ramp developer page and grant the necessary scopes.
- Is there a limit on dataset size?
Yes, large datasets may not be processable due to API limitations.