# MongoDB

> Use this tool when you need to interact with MongoDB databases using natural language, enabling AI assistants to perform database operations such as collection management and document manipulation. It solves problems of complex database queries and provides a simple interface through a YAML configuration file and Server-Sent Events (SSE) output. Ideal for developers who want to give AI agents direct access to MongoDB data without requiring extensive database query knowledge.

Canonical page: https://skillsregistry.net/skills/thinking-bzf-mongo  
JSON: https://api.skillsregistry.net/v1/skills/thinking-bzf-mongo

## Description

MongoDB MCP Server provides a bridge between LLMs and MongoDB databases, enabling natural language interaction for database operations. Built with Go and the mcp-go library, it offers tools for collection management, document operations (find, count, insert, update, delete), and index manipulation. The server supports Server-Sent Events (SSE) and is configurable through a simple YAML file, making it ideal for developers who want to give AI assistants direct access to MongoDB data without writing complex database queries.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/thinking-bzf-mongo)
- **Repository:** <https://github.com/thinking-bzf/mongo-mcp-go>

## 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": "thinking-bzf-mongo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thinking-bzf-mongo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thinking-bzf-mongo/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