autonomous-data-manager
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The AI Autonomous Data Manager is a specialized data management system designed to give AI agents autonomous control over dynamically structured data collections.
The AI Autonomous Data Manager MCP is a server designed to enable AI agents to autonomously manage and organize data collections. It supports AI-driven collection creation with automatic schema validation, autonomous CRUD operations, and persistent data storage across chat sessions. The system supports both STDIO and SSE modes, allowing AI agents to build knowledge bases, track projects, organize learning content, and persist important information. Users can monitor and inspect data through a built-in web interface, the MCP Inspector tool, or programmatically via the MCP server API endpoints. The server is provided as-is under the MIT license and was created as an exercise to learn about MCP servers.
Features
- AI-driven collection creation with automatic schema validation
- Autonomous CRUD operations by AI agents
- Persistent data storage across chat sessions
- Support for both STDIO and SSE modes
- Built-in web interface for data monitoring
Tools
add_collection_type
Create a new collection type in the database
add_batch_to_collection
Add one or more entries to a collection
get_from_collection
Perform a query to retrieve entries from a collection
delete_from_collection
Delete a collection entry
collection_summary
Get a summary of a collection (returns all entries but only includes the
_idandsummaryfields)get_resource_data
Provides the same information as the
data://server-descriptionanddata://collectionsresources.
