# MXCP

> Use this tool when you need to build and deploy reliable AI solutions with robust data management and security features. MXCP solves problems related to data quality, security, and compliance by providing a comprehensive framework for AI tool development. It takes in AI models and data as inputs and outputs production-ready tools with audit trails and testing capabilities.

Canonical page: https://skillsregistry.net/skills/raw-labs-mxcp  
JSON: https://api.skillsregistry.net/v1/skills/raw-labs-mxcp

## Description

Enterprise-grade MCP framework for building production-ready AI tools with data quality, security, audit trails, and comprehensive testing.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i08d2em048)
- **Repository:** <https://github.com/raw-labs/mxcp>

## 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": "raw-labs-mxcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raw-labs-mxcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raw-labs-mxcp/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