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documentdb

documentdb is a plugin for Gemini CLI from Azure/documentdb-agent-kit. Its token cost is not measured, scanned A, original, MIT.

A connection and management tool for Azure DocumentDB, a Microsoft cloud database that works with MongoDB-style data and queries. It can inspect data, collections, and queries, and help produce database code.

In plain words
What is it for?
Use it to explore collections, review data, improve queries, and create code for Azure DocumentDB.
Why use it?
It gives a coding agent a direct way to examine a DocumentDB database instead of relying on copied samples or manual browsing. The configured version allows reading but not writing or administrative changes.

Plugin for Gemini CLI ✓ vendor

Written for Gemini CLI: a Gemini CLI extension manifest.

not rated 6repo 8d ago A scan tokens not measured original MIT

Good fit Use it to explore collections, review data, improve queries, and create code for Azure DocumentDB.

Compare 6 plugins from other repositories ↓
Install with agentmods
npx agentmods add plugins/azure/documentdb-agent-kit/gemini-extension
View source ↗ Azure/documentdb-agent-kit
About the project

DocumentDB Agent Kit is a collection of agent skills, diagnostic scripts, and an MCP server for Azure DocumentDB, a managed database service that provides MongoDB-compatible access while using the DocumentDB project underneath. Developers use it for vector and full-text search, query and connection tuning, deployment, security, high availability, and troubleshooting. The catalogue add-ons are the kit's skills, plugins, agent, and MCP integration.

Azure/documentdb-agent-kit · 6 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/Azure/documentdb-agent-kit

Made for: Gemini CLI.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for documentdb

README.md
[![agentmods](https://agentmods.dev/badge/plugins/azure/documentdb-agent-kit/gemini-extension/github.svg)](https://agentmods.dev/plugins/azure/documentdb-agent-kit/gemini-extension)
Your own site
<a href="https://agentmods.dev/plugins/azure/documentdb-agent-kit/gemini-extension"><img src="https://agentmods.dev/badge/plugins/azure/documentdb-agent-kit/gemini-extension/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for documentdb

Your own site · 80×15
<a href="https://agentmods.dev/plugins/azure/documentdb-agent-kit/gemini-extension"><img src="https://agentmods.dev/badge/plugins/azure/documentdb-agent-kit/gemini-extension.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session not measured What this adds to a session before it is invoked.
When invoked not measured Not applicable: nothing here is loaded into a session.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Security

Grade A, and why

documentdb scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 26d ago.

The scan reads gemini-extension.json. This mod also ships 28 executable files (examples/azure-deployment/deploy.ps1, examples/azure-deployment/deploy.sh, scripts/data-integrity-check.ps1, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

gemini-extension.json · 21 lines

What it actually says

{
  "name": "documentdb",
  "version": "0.1.0",
  "description": "Official Gemini extension for Azure DocumentDB (MongoDB-compatible). Connect to clusters, explore data, manage collections, optimize queries, generate reliable code, implement best practices, and more.",
  "mcpServers": {
    "documentdb": {
      "command": "npx",
      "args": ["-y", "documentdb-mcp-server"],
      "env": {
        "TRANSPORT": "stdio",
        "AUTH_REQUIRED": "false",
        "TRUST_LOCAL_STDIO": "true",
        "CONNECTION_PROFILES": "${DOCUMENTDB_CONNECTION_PROFILES}",
        "ENABLE_READ_TOOLS": "true",
        "ENABLE_WRITE_TOOLS": "false",
        "ENABLE_MANAGEMENT_TOOLS": "false"
      }
    }
  }
}
Files

What ships with it

33 files beside gemini-extension.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 26d ago First seen · 21 lines scan A 5e2bcc7e9db8

Subscribe to this mod's changes

documentdb is a plugin published in the GitHub repository Azure/documentdb-agent-kit (6 stars, last pushed 8d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-22.

DatabasesMongoDB
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