# SegmentMCP

> Use this tool when you need to analyze customer data without requiring technical expertise, as it transforms natural language queries into SQL for customer segmentation. It solves problems of data accessibility and insight generation for non-technical users, providing a user-friendly interface to input queries and output relevant customer data insights. Ideal for use cases where business users need to quickly segment customers based on various criteria without relying on IT or data engineering teams.

Canonical page: https://skillsregistry.net/skills/tejasayya-segmentmcp  
JSON: https://api.skillsregistry.net/v1/skills/tejasayya-segmentmcp

## Description

Transforms natural language queries into SQL for customer segmentation, enabling democratized access to customer data insights.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cpfof5mah7)
- **Repository:** <https://github.com/tejasayya/SegmentMCP>

## 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": "tejasayya-segmentmcp"
    }
  }
}
```

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