# MongoDB Atlas

> Use this tool when you need to create and manage MongoDB Atlas resources efficiently, solving problems such as provisioning clusters, configuring network access, and managing database users. It provides a standardized interface for AI assistants to interact with MongoDB Atlas, accepting API keys as input and producing outputs like connection strings. Ideal for developers working on AI-assisted projects that require quick and seamless MongoDB resource configuration.

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

## Description

The MongoDB Atlas MCP Server provides AI assistants with tools to create and manage MongoDB Atlas resources through a standardized interface. Built with TypeScript and the Model Context Protocol SDK, it enables operations such as creating clusters, configuring network access, managing database users, and retrieving connection strings. The implementation requires MongoDB Atlas API keys for authentication and can be integrated with various AI assistant platforms including Cline for VSCode, Cursor, and Claude Desktop. This tool bridges the gap between AI development workflows and MongoDB Atlas infrastructure, making it valuable for developers who need to quickly provision and configure MongoDB resources within their AI-assisted projects.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

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

## 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": "mongodb-atlas"
    }
  }
}
```

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