# MCP Autonomous Analyst

> Use this tool when you need to analyze complex tabular data and identify anomalies, generating informative summaries without relying on external services. The MCP Autonomous Analyst takes in tabular data as input and produces interpretive summaries and anomaly reports as output. Ideal for use cases requiring local, self-contained data analysis and insights, such as data quality control, fraud detection, and business intelligence.

Canonical page: https://skillsregistry.net/skills/madmando-mcp-autonomous-analyst  
JSON: https://api.skillsregistry.net/v1/skills/madmando-mcp-autonomous-analyst

## Description

A local, agentic AI pipeline that analyzes tabular data, detects anomalies, and generates interpretive summaries using local LLMs orchestrated via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f6zsxclk6c)
- **Repository:** <https://github.com/MadMando/mcp-autonomous-analyst>

## 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": "madmando-mcp-autonomous-analyst"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/madmando-mcp-autonomous-analyst` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/madmando-mcp-autonomous-analyst/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