"Information about MongoDB database" matching MCP servers:

Enables interaction with MongoDB databases through MCP, supporting database queries, resource reading, and multi-collection operations including aggregation pipelines and lookups.

Full featured MCP Server for MongoDB database analysis.

Enables interaction with MongoDB databases through MCP protocol. Provides containerized deployment with Docker support for database operations and management.

Enables LLM clients to query MongoDB collections read-only through a small set of guarded operations, exposing only declared fields and enforcing scoped filters, projections, and limits.

Enables AI agents to securely connect to MongoDB databases via MCP, with deployment modes from basic to RBAC-gated with Keycloak authentication.

Feature-rich MCP server for MongoDB with multi-connection support, enabling users to interact with multiple MongoDB clusters simultaneously, perform CRUD operations, run aggregations, diagnostics, and more, all through natural language.

A Model Context Protocol server that enables Claude to interact with MongoDB databases, supporting CRUD operations, aggregation, and database management.

Read-only MySQL/MariaDB MCP server for running SELECT queries safely, with automatic read-only enforcement and query limits.

Enables SQL database interaction with true server-side result paging, runtime-managed connection profiles, and SSH-bridged access for PostgreSQL.

MCP server for querying and managing multiple databases (SQLite, PostgreSQL, MySQL) with read-only mode and schema inspection.

A database MCP server providing 33 tools across PostgreSQL, MySQL, and SQLite, with connection groups, rollback, dump/restore, and schema auto-discovery via natural language.

A Model Context Protocol server that enables AI models to interact with both MySQL and MongoDB databases through a standardized interface, supporting comprehensive database operations including queries, schema management, and CRUD operations.

A Claude integration that enables updating various database types (PostgreSQL, MySQL, MongoDB, SQLite) from CSV and Excel files through natural language commands.

Enables AI assistants to interact with MongoDB databases through natural language, supporting document CRUD, aggregation, collection listing, and statistics.

Provides AI assistants with read-only access to inspect database schemas, preview data, and run safe queries across PostgreSQL, MySQL, MongoDB, and SQL Server. It enables AI tools to understand database structures and relationships automatically to generate more accurate code.

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.

An extensible MCP server for database operations that supports PostgreSQL for managing schemas, tables, data, and user permissions. It features automatic migration recording for DDL changes and integrates with various AI-powered editors like Cursor, Zed, and Claude Code.

A modular MCP server that enables interaction with multiple database types including PostgreSQL, MySQL, SQLite, Redis, MongoDB, and LDAP. It provides tools for executing queries, managing SQL commands, and exploring database schemas with configurable read-only security.

Enables AI assistants to interact with and manage multiple database types (PostgreSQL, MySQL, SQLite, SQL Server, MongoDB, Redis) through natural language, supporting query analysis, schema management, data analysis, backup/restore, and security analysis.

Enables interaction with MongoDB databases through the Model Context Protocol, supporting CRUD operations, secure connections, and easy IDE integration.