# Azure Cosmos DB

> Use this tool when you need to interact with Azure Cosmos DB databases through natural language instructions, enabling AI assistants to perform common database operations like inserting, retrieving, and querying items. It solves problems of complex query writing and context switching, providing a seamless interface for data interaction. The tool accepts natural language inputs and outputs relevant data, making it ideal for users who want to access Cosmos DB data directly through AI assistants.

Canonical page: https://skillsregistry.net/skills/robinong79-cosmos  
JSON: https://api.skillsregistry.net/v1/skills/robinong79-cosmos

## Description

MCP-Cosmos is a server implementation that provides a bridge between AI assistants and Azure Cosmos DB databases. It exposes tools for common database operations including inserting, retrieving, updating, and querying items within Cosmos DB containers. The server uses the Model Context Protocol SDK to handle requests through a stdio transport, translating natural language instructions into appropriate Cosmos DB operations. This implementation is particularly valuable for users who need to interact with their Cosmos DB data directly through AI assistants without writing complex database queries or switching contexts.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** scanned
- **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/robinong79-cosmos)
- **Repository:** <https://github.com/robinong79/mcp-cosmos>

## 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": "robinong79-cosmos"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/robinong79-cosmos` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/robinong79-cosmos/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