# Brex

> Use this tool when you need to securely access and analyze Brex financial data, such as account information and transactions, without requiring direct API access. It provides a standardized interface for AI agents to retrieve financial resources, supporting use cases like expense analysis and budget monitoring. The Brex MCP Server offers read-only operations, error handling, and rate limiting, making it ideal for financial analysts using AI tools to gain insights from Brex data.

Canonical page: https://skillsregistry.net/skills/crazyrabbitltc-brex  
JSON: https://api.skillsregistry.net/v1/skills/crazyrabbitltc-brex

## Description

Brex MCP Server provides a secure bridge between AI agents and the Brex financial platform, enabling access to account information, transactions, expenses, and budget resources. Developed by Dennison Bertram, this TypeScript implementation exposes Brex API data through standardized resource handlers and tools following the MCP specification. The server implements read-only operations for sensitive financial resources, proper error handling, and rate limiting for API requests. It's particularly valuable for financial analysts using AI tools to retrieve and analyze Brex financial data without requiring direct API access, supporting use cases like expense analysis, budget monitoring, and transaction categorization.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

## 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": "crazyrabbitltc-brex"
    }
  }
}
```

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