# MongoDB MCP Server

> Use this tool when you need to interact with MongoDB databases using a standardized interface, enabling CRUD operations and database management. It solves problems related to data storage, retrieval, and analysis, and accepts inputs such as database queries and schema definitions, outputting results and metadata. Ideal for use cases requiring seamless integration of AI assistants with MongoDB databases.

Canonical page: https://skillsregistry.net/skills/ruslankf777-mcp-mongo  
JSON: https://api.skillsregistry.net/v1/skills/ruslankf777-mcp-mongo

## Description

Provides a standardized interface for AI assistants to interact with MongoDB databases, enabling CRUD operations, schema analysis, and database management through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.88
- **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:** [Glama](https://glama.ai/mcp/servers/di3lwo77qi)
- **Repository:** <https://github.com/ruslankf777/mcp_mongo>

## 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": "ruslankf777-mcp-mongo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ruslankf777-mcp-mongo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ruslankf777-mcp-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