mcp-mongodb-atlas
MCP ServerFreeMCP Tool to operate and integrate MongoDB Atlas projects into an AI developed project
Capabilities8 decomposed
mongodb atlas project enumeration and metadata retrieval
Medium confidenceExposes MongoDB Atlas Admin API endpoints to list and retrieve detailed metadata about Atlas projects, including cluster configurations, database names, collection schemas, and project settings. Implements MCP tool bindings that translate natural language requests into authenticated REST calls to Atlas Admin API, parsing JSON responses into structured data for LLM consumption.
Bridges MongoDB Atlas Admin API directly into MCP protocol, allowing LLMs to query Atlas infrastructure state without custom API wrapper code — uses MCP's standardized tool schema to expose Atlas endpoints as callable functions with automatic authentication handling
Provides native MCP integration for Atlas management where alternatives require custom REST client code or separate API abstraction layers
mongodb atlas cluster creation and configuration
Medium confidenceEnables programmatic creation of new MongoDB Atlas clusters through MCP tool calls that translate high-level cluster specifications (tier, region, backup settings, network access) into Atlas Admin API provisioning requests. Handles cluster initialization, waits for deployment completion, and returns connection strings and cluster metadata for downstream use.
Wraps Atlas Admin API cluster creation endpoints in MCP tool schema with built-in parameter validation and sensible defaults, allowing LLMs to provision infrastructure without understanding Atlas API request structure — includes automatic polling for deployment status
Simpler than Terraform MongoDB provider for ad-hoc cluster creation via LLM because it abstracts state management and provides immediate feedback through MCP protocol
mongodb atlas network access and ip whitelist management
Medium confidenceManages IP whitelist entries and network access rules for Atlas clusters through MCP tools that add, remove, and list IP addresses or CIDR blocks authorized to connect. Implements validation of IP address format and integrates with Atlas Admin API to persist network access policies, enabling dynamic firewall rule management driven by LLM requests.
Exposes Atlas network access API through MCP tool calls with built-in IP validation and CIDR parsing, allowing LLMs to manage firewall rules without manual API calls — includes list operations for audit trails
More accessible than raw Atlas API for dynamic access management because MCP tools handle parameter validation and provide human-readable responses
mongodb atlas database user creation and credential management
Medium confidenceProvisions database users within Atlas clusters through MCP tools that generate credentials, assign roles, and configure authentication methods. Implements secure credential generation, stores credentials in Atlas, and returns connection details for application use. Supports role-based access control (RBAC) with predefined and custom roles.
Integrates Atlas user provisioning API into MCP tools with automatic credential generation and role validation, allowing LLMs to create database users with appropriate permissions without understanding MongoDB RBAC syntax — returns ready-to-use connection strings
Simpler than manual user creation in Atlas UI and safer than hardcoding credentials because credentials are generated server-side and returned through secure MCP channels
mongodb atlas backup and restore operations
Medium confidenceManages backup snapshots and restore operations for Atlas clusters through MCP tools that trigger on-demand backups, list available snapshots, and initiate point-in-time restore operations. Implements polling for backup completion and restore status, translating high-level backup intents into Atlas Admin API calls with automatic state tracking.
Wraps Atlas backup and restore APIs in MCP tools with built-in polling for asynchronous operations, allowing LLMs to trigger backups and restores without managing job status manually — abstracts the complexity of point-in-time restore configuration
More accessible than raw Atlas API for backup automation because MCP tools handle status polling and provide clear completion signals
mongodb atlas cluster scaling and performance tuning
Medium confidenceModifies cluster tier, storage allocation, and auto-scaling settings through MCP tools that translate scaling requests into Atlas Admin API calls. Implements validation of tier compatibility, handles scaling operation status tracking, and provides performance metrics context for scaling decisions. Supports both vertical scaling (tier changes) and horizontal scaling (auto-scaling configuration).
Exposes Atlas cluster scaling API through MCP tools with built-in tier validation and performance metric context, allowing LLMs to make scaling decisions based on cluster health without manual API interaction — includes auto-scaling configuration for hands-off scaling
More intelligent than simple scaling APIs because it validates tier compatibility and provides performance context for decision-making
mongodb atlas monitoring and alert configuration
Medium confidenceConfigures monitoring alerts and retrieves cluster performance metrics through MCP tools that interact with Atlas monitoring API. Implements alert rule creation for CPU, memory, connections, and custom metrics, with notification channel integration (email, Slack, PagerDuty). Provides real-time and historical metrics for cluster health assessment.
Integrates Atlas monitoring and alerting APIs into MCP tools with support for multiple notification channels, allowing LLMs to configure proactive monitoring without manual Atlas UI interaction — provides both alert configuration and real-time metrics retrieval
More comprehensive than basic metric retrieval because it includes alert rule creation and notification channel integration for end-to-end monitoring automation
mongodb atlas project and organization management
Medium confidenceManages Atlas projects and organization settings through MCP tools that create projects, modify project settings, manage team members, and configure organization-level policies. Implements role-based access control for team members, handles project isolation, and provides organization-wide configuration management through Atlas Admin API.
Exposes Atlas project and organization management APIs through MCP tools with role-based access control, allowing LLMs to manage multi-tenant infrastructure without understanding Atlas permission hierarchy — includes team member provisioning
Enables programmatic project creation and team management where alternatives require manual Atlas UI interaction or custom Terraform configurations
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
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Query and manage MongoDB databases and collections via MCP.
MongoDB Lens
** - Full Featured MCP Server for MongoDB Database.
mongodb-mcp-server
MongoDB Model Context Protocol Server
Mongo
** - A Model Context Protocol (MCP) server that enables LLMs to interact directly with MongoDB databases
MongoDB
** - A Model Context Protocol Server for MongoDB
Nomic Embed
Open-source embedding models with full transparency.
Best For
- ✓AI agents managing multi-tenant MongoDB infrastructure
- ✓developers building LLM-powered database administration dashboards
- ✓teams automating MongoDB Atlas inventory and compliance audits
- ✓AI agents automating database provisioning in multi-environment setups
- ✓developers building self-service database infrastructure platforms
- ✓teams implementing infrastructure-as-code patterns with LLM assistance
- ✓DevOps teams managing dynamic network access for Atlas clusters
- ✓AI agents handling just-in-time access provisioning for temporary workloads
Known Limitations
- ⚠Read-only access to project metadata — cannot modify cluster configurations through this capability alone
- ⚠API rate limits from MongoDB Atlas Admin API apply (typically 100 requests per minute per organization)
- ⚠Requires valid Atlas Admin API key with Organization Owner or Project Owner permissions
- ⚠Cluster creation is asynchronous — returns immediately but actual provisioning takes 5-15 minutes; polling required for completion status
- ⚠Cannot modify existing cluster tier or storage size after creation — requires cluster deletion and recreation
- ⚠Billing implications: each cluster incurs Atlas charges; no cost estimation provided before creation
Requirements
Input / Output
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MCP Tool to operate and integrate MongoDB Atlas projects into an AI developed project
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