# Data Analysis MCP Server

> Use this tool when you need to manage and analyze data stored in a JSON file system database, creating and editing user entries for large language models (LLMs). It solves problems related to data organization and retrieval, providing a simple interface for LLMs to interact with the database. The server takes in MCP requests and outputs updated JSON data, ideal for use cases requiring dynamic data management and analysis.

Canonical page: https://skillsregistry.net/skills/sankalp51-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sankalp51-mcp-server

## Description

A simple Model Context Protocol (MCP) server that allows LLMs to create and manage user entries in a JSON file system database.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jlq1ttn72y)
- **Repository:** <https://github.com/sankalp51/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": "sankalp51-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sankalp51-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sankalp51-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