# MongoDB Lens

> Use this tool when you need to analyze and understand your MongoDB database performance and health. MongoDB Lens provides a full-featured interface to input queries, view database metrics, and output detailed analysis reports, helping to solve problems related to database optimization and troubleshooting. It is ideal for use cases where in-depth database insights are required to improve data management and query performance.

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

## Description

Full featured MCP Server for MongoDB database analysis.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-06

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hniehmvmgn)
- **Repository:** <https://github.com/furey/mongodb-lens>

## 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": "furey-mongodb-lens"
    }
  }
}
```

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

---
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