ramp-mcp MCP Server

Introducing Ramp MCP: A Powerful Model Context Protocol Server

Welcome to an in-depth look at Ramp MCP, a specialized Model Context Protocol (MCP) server designed for seamless data retrieval and task execution with Ramp's Developer API. Whether you're a developer or a business user, Ramp MCP offers robust tools for data analysis and integration. Hosted on GitHub, this server is a must-have for anyone working with Ramp's ecosystem.

What is Ramp MCP?

Ramp MCP is a dedicated server for interacting with Ramp's platform, enabling users to fetch, analyze, and manage data efficiently. It features an ETL pipeline and an ephemeral SQLite database in memory, ideal for processing data with large language models (LLMs). By default, it operates in demo mode, with the option to switch to production by setting the environment variable.

Key Features of Ramp MCP

• Database Tools: Easily set up, query, and manage an in-memory database with tools like process_data and execute_query.
• Fetch Tools: Directly retrieve data such as categories and currencies from Ramp.
• Load Tools: Load various data types like transactions, bills, and user information with specific scopes.
• Scalability: Handles data within API and client limitations, with tips for managing large datasets.

How to Use Ramp MCP

To get started, create a client on Ramp's developer page, grant necessary scopes, and configure your client ID and secret. Clone the Ramp MCP repository from GitHub, install dependencies, and run the server via CLI with the appropriate environment settings and scopes.

User Case for Ramp MCP

Ideal for developers building integrations with Ramp, Ramp MCP simplifies data handling for financial analytics, reimbursement tracking, or spend management solutions.

FAQ about Ramp MCP

• What scopes are needed? Scopes depend on the tools used, such as transactions:read for loading transactions.
• Can it handle large datasets? Yes, with limitations; concise prompts are recommended to avoid timeouts.