# telco-mcp-server

> telco-mcp-server — rashad-malik-telco-mcp-server. Use this tool when you need to integrate AI assistants with data analysis and machine learning capabilities, bridging the gap between conversational interfaces and advanced data insights. It solves problems related to data-driven decision making and automated task execution, accepting inputs from AI assistants and outputting actionable data analysis results. Ideal for use cases requiring seamless interaction between AI and data analysis, such as customer service automation or predictive maintenance.

Canonical page: https://skillsregistry.net/skills/rashad-malik-telco-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/rashad-malik-telco-mcp-server

## Description

This project demonstrates how to build an MCP server that bridges AI assistants with data analysis and machine learning capabilities.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/rashad-malik/telco-mcp-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": "rashad-malik-telco-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rashad-malik-telco-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rashad-malik-telco-mcp-server/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