# MongoDB

> Use this tool when you need to interact with MongoDB databases for various operations such as finding, inserting, updating, and deleting data across collections. It solves problems related to data management, aggregation, and querying, and provides a flexible interface with configurable read-only mode and optional aggregate pipeline execution. It is ideal for use cases requiring comprehensive database interactions, with inputs including database targets and queries, and outputs including query results and modified data.

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

## Description

Go-based server enabling comprehensive MongoDB database interactions including find, insert, update, delete, and aggregation operations across collections. Supports configurable read-only mode to restrict write access, optional aggregate pipeline execution, and flexible database targeting through environment variables or per-query specification. Licensed under Apache 2.0.

## Trust

- **Trust score (0–1):** 0.98
- **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/cdtgr-mongodb)
- **Repository:** <https://github.com/cdtgr/mongodb_go_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": "cdtgr-mongodb"
    }
  }
}
```

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