databases

MongoDB Atlas

mongodb-developer

by mongodb-developer

Manage MongoDB Atlas resources like clusters, users, and network access using TypeScript and the MongoDB Atlas API. Lear

Integrates with MongoDB Atlas to enable creating and managing database resources including clusters, network access, users, and connection strings using TypeScript and the MongoDB Atlas API.

github stars

13

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Community-maintained serverFull Atlas API integrationTypeScript implementation

best for

  • / DevOps teams provisioning MongoDB infrastructure
  • / Developers setting up database environments
  • / Automating Atlas cluster management workflows

capabilities

  • / Create MongoDB Atlas clusters
  • / Configure network access rules
  • / Create database users with permissions
  • / Retrieve connection strings
  • / List Atlas projects and clusters
  • / Manage Atlas project resources

what it does

Manages MongoDB Atlas resources including clusters, users, and network access through the Atlas API. Provides tools to create, configure, and monitor Atlas database infrastructure.

about

MongoDB Atlas is an official MCP server published by mongodb-developer that provides AI assistants with tools and capabilities via the Model Context Protocol. Manage MongoDB Atlas resources like clusters, users, and network access using TypeScript and the MongoDB Atlas API. Lear It is categorized under databases.

how to install

You can install MongoDB Atlas in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

MongoDB Atlas is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

📢 COMMUNITY SERVER NOTICE
This is a community-maintained MCP Server.
👉 For the official MongoDB MCP Server, visit mongodb-js/mongodb-mcp-server

# MongoDB Atlas MCP Server An MCP (Model Context Protocol) server for managing MongoDB Atlas projects. This package provides tools for creating and managing MongoDB Atlas clusters, users, and network access through the MCP interface. ## Demo Video [![MongoDB Atlas MCP Server Demo](https://img.youtube.com/vi/h8nmRsOGUew/0.jpg)](https://www.youtube.com/watch?v=h8nmRsOGUew) Watch the demonstration video to see MongoDB Atlas MCP Server in action. ## Features ### MCP Tools - `create_atlas_cluster` - Create a new MongoDB Atlas cluster in an existing project - `setup_atlas_network_access` - Configure network access for an Atlas project - `create_atlas_user` - Create a new database user with atlasAdmin role - `get_atlas_connection_strings` - Retrieve connection strings for a cluster - `list_atlas_projects` - List all Atlas projects accessible with the provided API key - `list_atlas_clusters` - List all clusters in a specific Atlas project ## Installation ```bash npm install mcp-mongodb-atlas ``` ## Usage ### As a Command Line Tool You can run the Atlas Project Manager directly from the command line: ```bash # Using environment variables export ATLAS_PUBLIC_KEY="your-public-key" export ATLAS_PRIVATE_KEY="your-private-key" npx mcp-mongodb-atlas # Or passing keys as arguments npx mcp-mongodb-atlas "your-public-key" "your-private-key" ``` ### With Cline (VSCode Extension) To use with Cline in VSCode, add the server config to your MCP settings file: ```json { "mcpServers": { "atlas": { "command": "npx", "args": ["mcp-mongodb-atlas"], "env": { "ATLAS_PUBLIC_KEY": "your-public-key", "ATLAS_PRIVATE_KEY": "your-private-key" }, "disabled": false, "autoApprove": [] } } } ``` The MCP settings file is located at: - macOS: `~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json` - Windows: `%APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json` - Linux: `~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json` ### With Cursor To use with Cursor, go to "Cursor settings" > "MCP" in the settings and add a new server with the following configuration: 1. **Name**: `atlas` (or any name you prefer) 2. **Command**: `npx mcp-mongodb-atlas` 3. **Arguments**: provide your API keys as arguments ```bash ## Suggested Command npx mcp-mongodb-atlas ``` Newer versions can set the `~/.cursor/mcp.json` file with: ``` { "mcpServers": { "atlas": { "command": "npx", "args": ["mcp-mongodb-atlas"], "env": { "ATLAS_PUBLIC_KEY": "your-public-key", "ATLAS_PRIVATE_KEY": "your-private-key" }, "disabled": false, "autoApprove": [] } } } ``` 4. **Environment Variables** (Optional): - `ATLAS_PUBLIC_KEY`: Your MongoDB Atlas public key - `ATLAS_PRIVATE_KEY`: Your MongoDB Atlas private key ### With Claude Desktop To use with Claude Desktop, add the server config: On macOS: `~/Library/Application Support/Claude/claude_desktop_config.json` On Windows: `%APPDATA%/Claude/claude_desktop_config.json` ```json { "mcpServers": { "atlas": { "command": "npx", "args": ["mcp-mongodb-atlas"], "env": { "ATLAS_PUBLIC_KEY": "your-public-key", "ATLAS_PRIVATE_KEY": "your-private-key" } } } } ``` ## API Keys You need MongoDB Atlas API keys to use this tool. To create API keys: 1. Log in to your MongoDB Atlas account 2. Go to Access Manager > API Keys 3. Create a new API key with the appropriate permissions 4. Save the public and private keys ## Development Clone the repository and install dependencies: ```bash git clone https://github.com/mongodb-developer/mcp-mongodb-atlas.git cd mcp-mongodb-atlas npm install ``` Build the project: ```bash npm run build ``` For development with auto-rebuild: ```bash npm run watch ``` ### Debugging Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector: ```bash npm run inspector ``` The Inspector will provide a URL to access debugging tools in your browser. ## License MIT

FAQ

What is the MongoDB Atlas MCP server?
MongoDB Atlas is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for MongoDB Atlas?
This profile displays 71 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Use Cases

Direct Database Queries from AI

Enable Claude to query your database directly using natural language

Example

Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly

Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster

Data Analysis & Reporting

Generate complex reports and analytics without leaving conversation

Example

Analyze sales trends, cohort retention, user behavior patterns conversationally

Democratize data access—non-technical team members can query databases

Schema Exploration

Understand database structure, relationships, and data models

Example

'Explain the user_orders table schema and its relationships'

Onboard engineers faster, explore unfamiliar databases efficiently

Data Validation & Quality Checks

Run data quality queries to catch anomalies and inconsistencies

Example

Find duplicate records, missing values, orphaned foreign keys automatically

Maintain data integrity with less manual SQL work

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor with MCP support
  • Database credentials (read-only recommended for safety)
  • Network access from Claude client to database
  • Understanding of database security and access control

Time Estimate

15-30 minutes including configuration and testing

Installation Steps

  1. 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
  2. 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
  3. 3.Provide connection string: host, port, database, username, password
  4. 4.Restart Claude Desktop to load MCP server
  5. 5.Test connection: 'List all tables in database'
  6. 6.Run simple query: 'Show me 5 rows from users table'
  7. 7.Verify results and permissions are correct
  8. 8.Document query patterns for team use

Troubleshooting

  • Connection refused: Check database is running and network accessible
  • Authentication failed: Verify credentials, check user permissions
  • Claude can't see tables: Grant appropriate read permissions to database user
  • Slow queries: Add indexes, limit result set size, use read replicas
  • MCP server not loading: Check config syntax, restart Claude Desktop

Best Practices

✓ Do

  • +Use read-only database credentials to prevent accidental writes
  • +Connect to read replica, not production primary database
  • +Set query timeout limits to prevent long-running queries
  • +Document database schema and common queries for AI context
  • +Monitor query performance and optimize slow queries
  • +Use connection pooling for better performance
  • +Test with non-production data first

✗ Don't

  • Don't use production write credentials—risk of data corruption
  • Don't query production database during peak traffic hours
  • Don't expose sensitive PII without proper access controls
  • Don't skip query result validation—AI can misinterpret schema
  • Don't allow unlimited result set sizes—set LIMIT clauses
  • Don't share database credentials in plain text config files

💡 Pro Tips

  • Create database views for common queries to simplify AI access
  • Add schema comments/descriptions so AI understands column meanings
  • Use semantic table/column names ('customer_lifetime_value' not 'clv')
  • Set up query logging to audit what Claude is querying
  • Create saved query templates for recurring analysis
  • Combine with data visualization tools for better insights

Technical Details

Architecture

MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.

Protocols

  • Model Context Protocol (MCP)
  • Database-specific protocols (PostgreSQL, MySQL, MongoDB)

Compatibility

  • PostgreSQL
  • MySQL
  • SQLite
  • MongoDB
  • Redis

When to Use This

✓ Use When

Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.

✗ Avoid When

Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.

Integration

  • Read replica connection for analytics queries
  • Database view layer to abstract complex joins
  • Query result caching for repeated questions
  • Audit logging of all AI-generated queries

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.871 reviews
  • Noor Shah· Dec 24, 2024

    MongoDB Atlas is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Luis Khanna· Dec 20, 2024

    MongoDB Atlas is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Nikhil Iyer· Dec 20, 2024

    MongoDB Atlas reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Henry Liu· Dec 20, 2024

    Strong directory entry: MongoDB Atlas surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Shikha Mishra· Dec 8, 2024

    MongoDB Atlas is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Yash Thakker· Nov 27, 2024

    Strong directory entry: MongoDB Atlas surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Mateo Tandon· Nov 23, 2024

    We evaluated MongoDB Atlas against two servers with overlapping tools; this profile had the clearer scope statement.

  • James Sethi· Nov 15, 2024

    We wired MongoDB Atlas into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • James Flores· Nov 15, 2024

    Strong directory entry: MongoDB Atlas surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Luis Nasser· Nov 11, 2024

    I recommend MongoDB Atlas for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

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