# Insight Digger MCP

> Use this tool when you need to streamline multi-user data analysis and orchestration, enabling efficient discovery of data sources, configuration of analyses, and execution of workflows. It solves problems related to data management, security, and collaboration, providing features like intelligent caching and secure authentication. Ideal for enterprise-grade data analysis, it takes in data sources and user configurations, outputting actionable insights through the Claude Desktop interface.

Canonical page: https://skillsregistry.net/skills/sandsiv-data-narrator-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sandsiv-data-narrator-mcp

## Description

An enterprise-grade data analysis system that enables users to discover data sources, configure analyses, and execute workflows through Claude Desktop. It features intelligent caching, session isolation, and secure JWT authentication for streamlined multi-user data orchestration.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-05-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e6vjb4vx60)
- **Repository:** <https://github.com/sandsiv/data_narrator_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": "sandsiv-data-narrator-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sandsiv-data-narrator-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sandsiv-data-narrator-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