# MongoDB

> Use this tool when you need to connect AI assistants to MongoDB databases, enabling seamless data access while maintaining proper request tracing and logging. It solves problems of data integration and management, providing a FastAPI-based server with comprehensive logging and pagination utilities. Ideal for applications requiring AI-driven data analysis and processing, it offers structured API endpoints and configurable database connections.

Canonical page: https://skillsregistry.net/skills/qifarer-mongodb  
JSON: https://api.skillsregistry.net/v1/skills/qifarer-mongodb

## Description

MCP-MongoDB is a FastAPI-based server that connects MongoDB databases to AI assistants through the Model Context Protocol. Developed by the FiveMay team, it provides trace management capabilities with comprehensive logging, pagination utilities, and configurable database connections. The implementation includes structured API endpoints for trace operations, MongoDB connection pooling, and environment-based configuration. This server is particularly valuable for applications that need to provide AI assistants with access to MongoDB data sources while maintaining proper request tracing and logging.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/qifarer-mongodb)
- **Repository:** <https://github.com/qifarer/mcp-mongodb>

## 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": "qifarer-mongodb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qifarer-mongodb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qifarer-mongodb/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
