Ramp
Enables retrieval and analysis of Ramp data for LLM integration via a Model Context Protocol server.
About
The Ramp Model Context Protocol (MCP) server facilitates seamless interaction with Ramp's Developer API, enabling data retrieval, processing, and analysis for integration with Large Language Models (LLMs). It overcomes token and input size limitations by implementing a simple ETL pipeline and an in-memory SQLite database. The server provides tools for fetching data, loading data from Ramp, querying the database, and managing data tables, making it easier to leverage Ramp data within LLM applications.
Key Features
- Fetches data from Ramp using the Developer API.
- Loads data into an in-memory SQLite database.
- Provides tools for querying and managing the database.
- Supports various Ramp scopes for accessing different data types.
- Configurable for demo, QA, or production environments.
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Use Cases
- Analyzing Ramp transaction data with LLMs.
- Integrating Ramp spend data into custom applications.
- Automating Ramp data analysis workflows.
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