# MongoDB MCP Server

> Use this tool when you need to interact with MongoDB collections and documents in a standardized way, solving data retrieval and management problems through operations like listing, reading, and querying. It accepts MCP requests as input and returns relevant data as output, enabling efficient data exchange and processing. Ideal for use cases requiring structured data access and manipulation in MongoDB environments.

Canonical page: https://skillsregistry.net/skills/rtcface-first-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rtcface-first-mcp

## Description

Allows interaction with MongoDB collections and documents through standardized MCP requests, supporting operations like listing collections, reading documents with filtering, and executing structured queries.

## Trust

- **Trust score (0–1):** 0.69
- **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:** [Glama](https://glama.ai/mcp/servers/i18ht2vxs2)
- **Repository:** <https://github.com/rtcface/first_mcp>

## 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": "rtcface-first-mcp"
    }
  }
}
```

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