# Enterprise Rent-A-Car MCP Connector

> Use this tool when you need to automate car rental workflows or integrate Enterprise Rent-A-Car services into AI-powered applications. It solves problems related to vehicle searching, reservation management, and loyalty account access, providing inputs such as location and dates, and outputs like available vehicles and booking confirmations. Ideal for use cases requiring seamless car rental experiences, such as travel planning or customer service chatbots.

Canonical page: https://skillsregistry.net/skills/markswendsen-code-mcp-enterprise  
JSON: https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-enterprise

## Description

Enables AI assistants to search for vehicles, manage reservations, and access Enterprise Plus loyalty account information through headless browser automation on enterprise.com. It supports the complete car rental workflow including vehicle searching, booking, modifications, and points balance checks.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ewxtxbvtea)
- **Repository:** <https://github.com/markswendsen-code/mcp-enterprise>

## 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": "markswendsen-code-mcp-enterprise"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-enterprise` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-enterprise/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