# mcpmongo

> mcpmongo — the-sukhsingh-mcpmongo. Use this tool when you need to integrate MongoDB with AI systems using the Model Context Protocol (MCP) to enable database interactions. It solves problems related to data storage and retrieval for AI assistants, providing a seamless interface for querying and updating data. The tool takes in MCP requests and outputs MongoDB query results, ideal for use cases requiring dynamic data access and manipulation.

Canonical page: https://skillsregistry.net/skills/the-sukhsingh-mcpmongo  
JSON: https://api.skillsregistry.net/v1/skills/the-sukhsingh-mcpmongo

## Description

This project demonstrates the integration of MongoDB with the Model Context Protocol (MCP) to provide AI assistants with database interaction capabilities.

## Trust

- **Trust score (0–1):** 0.75
- **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/the-sukhsingh/mcpmongo)

## 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": "the-sukhsingh-mcpmongo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/the-sukhsingh-mcpmongo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/the-sukhsingh-mcpmongo/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