"Information about MongoDB" matching MCP servers:

A Model Context Protocol server for interacting with MongoDB Databases and MongoDB Atlas. It enables AI assistants to query, manage, and operate on MongoDB data and Atlas resources through natural language.

An MCP server that enables users to create and manage MongoDB Atlas clusters, users, and network access through natural language commands.

A Model Context Protocol server that enables AI assistants to interact with MongoDB Atlas resources through natural language, supporting database operations and Atlas management functions.

A Model Context Protocol server that provides access to the MongoDB Atlas API, enabling management of clusters, users, projects, backups, and more through MCP tools.

Enables interaction with MongoDB databases and MongoDB Atlas for querying data and managing clusters via the Model Context Protocol. It supports both local and cloud-based deployments using connection strings or Atlas API credentials.

Enables AI agents to interact with MongoDB databases and MongoDB Atlas, supporting read-only and write operations, Atlas cluster management, and data exploration.

Enables interaction with MongoDB databases and MongoDB Atlas through the Model Context Protocol, providing tools for database operations and Atlas management.

Enables AI agents and MCP clients to interact with MongoDB databases and MongoDB Atlas, providing tools to query and manage data and Atlas resources through the Model Context Protocol.

Enables AI coding agents to instantly provision ephemeral developer infrastructure like Postgres, Redis, MongoDB, and container deployments over HTTPS, with no Docker or signup required for the free anonymous tier.

Deploys and manages projects on Swigs Cloud from any MCP client, turning folders or git repositories into live HTTPS sites in about two minutes.

An MCP server that provides offline searchable Microsoft 365 roadmap data and live Azure status, enabling AI agents to answer questions about upcoming features, roadmap changes, and Azure incidents.

Cloud cost management MCP server for Azure. Ask your AI about your cloud bill.

A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.

Exposes Microsoft 365 privacy/compliance audit checks as MCP tools, enabling natural language queries about tenant configuration, orphaned documents, Conditional Access policies, DLP policies, and Copilot usage.

MCP server for AWS infrastructure analysis. Connects to DynamoDB, Lambda, SQS, SNS, Secrets Manager, EventBridge, RDS, PostgreSQL, MongoDB, and CloudWatch — surfaces missing indexes, queue DLQs, Lambda config issues, IaC drift, and security findings for Claude Code and Cursor.

Enables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.

MCP server for deploying projects to multiple cloud platforms (Vercel, Railway, Neon, MongoDB Atlas, Docker) and running local dev servers, with orchestration for full-stack deployments.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Read-only MCP server that exposes Kubernetes platform state (tenants, pods, SLOs, ArgoCD applications, chaos schedules, and catalog services) to AI agents, enabling natural language queries about cluster health and configuration.

Enables MCP-capable agents to create and invoke OpenServerless endpoints, manage secrets, and configure integrations such as S3, PostgreSQL, Redis, Milvus, and MongoDB.

Enables you to interact with your Fivetran environment through natural language, supporting read-only queries about connections and syncs, and write operations like updating sync frequency when enabled.

An MCP server for BigQuery that lets Claude answer questions about your search and analytics data, providing real analysis with verdicts and recommendations, not just raw query results.

Connects MCP-compatible coding agents to VMware vCenter to query information about virtual machines, hosts, clusters, datastores, datacenters, and networks.

A Model Context Protocol server that allows management of Netlify sites, enabling users to create, list, get information about, and delete Netlify sites directly from an MCP-enabled environment.

MCP server for managing Foreman hosts and infrastructure. Enables listing, searching, and getting detailed information about hosts, organizations, locations, subnets, domains, and more via natural language.

Enables AI assistants to interact with Terraform Cloud workspaces and runs, including checking run status, listing workspaces, and retrieving detailed information about workspaces and runs.

An MCP server that enables users to retrieve information from AWS Knowledge Bases using RAG (Retrieval-Augmented Generation) via Bedrock Agent Runtime.

An MCP server that allows searching for and retrieving information about Model Context Protocol servers registered on the MCP Hub.

An MCP server that provides access to Azure Data Explorer (ADX) clusters, allowing users to list tables, execute queries, and retrieve schema information.

Enables plain English queries about VMware vCenter environments including clusters, VMs, datastores, and more, directly from VS Code via GitHub Copilot.