# Local Database Analytics MCP Server

> Local Database Analytics MCP Server — manohar135-local-database-analytics-mcp-server. Use this tool when you need to analyze and summarize e-commerce data stored in local SQLite databases using natural language queries. It solves problems related to data insights and reporting by providing 11 analytical tools and pre-built prompts to extract valuable information. The tool takes natural language inputs and outputs summarized data and insights, making it ideal for use cases where quick data analysis is required.

Canonical page: https://skillsregistry.net/skills/manohar135-local-database-analytics-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/manohar135-local-database-analytics-mcp-server

## Description

Enables AI assistants like Claude to query, analyze, and summarize local SQLite e-commerce databases using natural language through 11 tools, schema resources, and pre-built analytical prompts.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yimuv7v99r)
- **Repository:** <https://github.com/manohar135/Local-Database-Analytics-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": "manohar135-local-database-analytics-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/manohar135-local-database-analytics-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/manohar135-local-database-analytics-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
