# MCP Database Server

> Use this tool when you need to interact with databases using natural language, enabling large language models (LLMs) to perform operations like querying, inserting, and deleting documents. The MCP Database Server supports MongoDB databases and allows for running aggregation pipelines, providing a flexible interface for LLMs to access and manipulate data. It is ideal for use cases where LLMs require database access, such as data retrieval, updating, or analysis, and can accept natural language inputs to generate corresponding database outputs.

Canonical page: https://skillsregistry.net/skills/manpreet2000-mcp-database-server  
JSON: https://api.skillsregistry.net/v1/skills/manpreet2000-mcp-database-server

## Description

A Model Context Protocol server that enables LLMs to interact with databases (currently MongoDB) through natural language, supporting operations like querying, inserting, deleting documents, and running aggregation pipelines.

## 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:** [Glama](https://glama.ai/mcp/servers/j7aex9088e)
- **Repository:** <https://github.com/manpreet2000/mcp-database-server>

## 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": "manpreet2000-mcp-database-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/manpreet2000-mcp-database-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/manpreet2000-mcp-database-server/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