# Ramp

> Use this tool when you need to access and interact with Ramp credit card and spend management data, enabling financial tracking and spend analysis workflows. It solves problems related to querying credit card transactions and other Ramp data, providing a bridge to the Ramp API for AI assistants. The tool requires a Ramp API key and client ID for authentication and provides output in a format accessible within MCP clients.

Canonical page: https://skillsregistry.net/skills/dragonkhoi-ramp  
JSON: https://api.skillsregistry.net/v1/skills/dragonkhoi-ramp

## Description

Ramp MCP provides a bridge to the Ramp API, allowing AI assistants to access and interact with Ramp credit card and spend management data. Built by Khoi Le, this TypeScript implementation requires a Ramp API key and client ID for authentication, and can be installed via Smithery or run locally. The server enables users to query their credit card transactions and other Ramp data directly within MCP clients like Cursor or Claude Desktop, making it useful for financial tracking and spend analysis workflows.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dragonkhoi-ramp)
- **Repository:** <https://github.com/dragonkhoi/ramp-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dragonkhoi-ramp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dragonkhoi-ramp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dragonkhoi-ramp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt