# Profiles MCP Server

> Use this tool when you need to build RudderStack Profiles projects efficiently using natural language inputs, solving data discovery and identity resolution challenges. It enables feature engineering and propensity modeling through AI-driven interfaces, accepting natural language commands and generating profiles as output. Ideal for use cases requiring automated data analysis and modeling, such as customer segmentation and personalization.

Canonical page: https://skillsregistry.net/skills/rudderlabs-profiles-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rudderlabs-profiles-mcp

## Description

Enables building RudderStack Profiles projects using natural language through AI assistants, supporting data discovery, identity resolution, feature engineering, and propensity modeling.

## Trust

- **Trust score (0–1):** 0.34
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m8hklc7icd)
- **Repository:** <https://github.com/rudderlabs/profiles-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": "rudderlabs-profiles-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rudderlabs-profiles-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rudderlabs-profiles-mcp/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