MongoDB Atlas
OfficialIntegrates with MongoDB Atlas to enable creating and managing database resources including clusters,...
Log in to your MongoDB Atlas account
- Go to the MongoDB Atlas login page and sign in with your credentials.
Navigate to Access Manager
- On the left-hand sidebar, go to Access Manager.
Go to the API Keys section
- In the Access Manager, select the API Keys tab.
Create a new API key
- Click the “Create API Key” button.
- Assign a name and select the appropriate project and permissions (e.g., Project Owner or custom roles depending on your needs).
Save the Public and Private Keys
- After the API key is generated, copy both the Public Key and Private Key.
Note: The Private Key will only be shown once—save it immediately!
- After the API key is generated, copy both the Public Key and Private Key.
Add Your API Keys to FastMCP
- In the FastMCP connection interface, click the "Install Now" button for the MongoDB Atlas MCP server.
- When prompted, fill in the
ATLAS_PUBLIC_KEYfield with your Public Key, and theATLAS_PRIVATE_KEYfield with your Private Key.
Finish and Save
- Complete the installation process and save the configuration. Your keys are now set up for use with the MongoDB Atlas MCP server.
Quick Start
Choose Connection Type for
Authentication Required
Please sign in to use FastMCP hosted connections
Configure Environment Variables for
Please provide values for the following environment variables:
started!
The MCP server should open in . If it doesn't open automatically, please check that you have the application installed.
Copy and run this command in your terminal:
Make sure Gemini CLI is installed:
Visit Gemini CLI documentation for installation instructions.
Make sure Claude Code is installed:
Visit Claude Code documentation for installation instructions.
Installation Steps:
Configuration
Installation Failed
More for Database
View All →Supabase MCP Server
Connect Supabase projects directly with AI assistants using the Model Context Protocol (MCP). This server standardizes communication between Large Language Models and Supabase, enabling AI to manage tables, query data, and interact with project features like edge functions, storage, and branching. Customize access with read-only or project-scoped modes and select specific tool groups to fit your needs. Integrated tools cover account management, documentation search, database operations, debugging, and more, empowering AI to assist with development, monitoring, and deployment tasks in your Supabase environment efficiently and securely.
ClickHouse
Unlock powerful analytics with the ClickHouse MCP Server—seamlessly run, explore, and manage SQL queries across ClickHouse clusters or with chDB’s embedded OLAP engine. This server offers easy database and table listing, safe query execution, and flexible access to data from files, URLs, or databases. Built-in health checks ensure reliability, while support for both ClickHouse and chDB enables robust data workflows for any project.
Remote
Postgres MCP Pro
Boost your Postgres database performance with Postgres MCP Pro, an AI-driven MCP server offering advanced index tuning, detailed explain plans, and comprehensive health checks. It combines proven optimization algorithms with schema intelligence for safe, context-aware SQL execution. Whether analyzing slow queries or recommending optimal indexes, Postgres MCP Pro empowers developers to improve efficiency and maintain database integrity. Designed for both development and production, it supports flexible transport options and robust access controls, making database management smarter, safer, and easier. Experience deterministic performance insights alongside AI assistance to keep your Postgres running at its best.
