Ramp MCP Server

The Ramp MCP server is a bridge between the Ramp developer API and AI assistants that speak Model Context Protocol. It solves the common problem of token and input size limits by pulling data from Ramp into an in‑memory SQLite database, then allowing the LLM to query that data with SQL or perform ETL tasks before returning concise results. For developers, this means they can ask an AI assistant to fetch, transform, and analyze financial data from Ramp without writing custom integration code or handling API pagination themselves.

At its core, the server exposes a collection of tools that map directly to Ramp resources. Fetch tools such as and pull small reference tables, while load tools like or ingest larger datasets into the temporary database. Once loaded, developers can use database tools (, , ) to run SQL queries, aggregate spending by category, or calculate reconciliation metrics. This ETL pipeline is lightweight and runs entirely in memory, ensuring fast turnaround while keeping the data transient so it never persists beyond the session.

Key capabilities include:

• Scoped access – Developers specify which Ramp scopes to enable when launching the server, ensuring that only the necessary data is fetched and reducing risk.
• Ephemeral storage – All loaded data lives in a temporary SQLite instance, protecting sensitive financial information and keeping the server stateless.
• SQL integration – The tool lets an LLM run arbitrary SQL against the loaded data, turning complex analytical queries into simple prompts.
• Tool chaining – A client can fetch raw data, transform it with , then query the results, all within a single conversational flow.

Typical use cases span finance teams, auditors, and fintech developers. An analyst can ask an AI assistant to “Show me the top 5 vendors by spend in Q3” and receive a formatted table without writing code. A developer can prototype budget dashboards by querying the in‑memory database, then later replace the MCP with a production data layer. Because the server operates over MCP, any AI client that understands the protocol—Claude Desktop, Claude API, or custom agents—can seamlessly integrate Ramp data into their workflows.

What sets Ramp MCP apart is its tight coupling with Ramp’s API and its focus on security and performance. By leveraging client credentials, scoped permissions, and an in‑memory database, it provides a lightweight yet powerful data analysis layer that fits naturally into AI‑driven financial operations.