MCP server for persistent, versioned document storage for AI agents

MCP Document Store for AI Agents

The MCP Document Store is a specialized multi-tenant MCP server designed to provide AI agents with robust, persistent, and version-controlled storage for their documents. This tool addresses a critical need for AI development: enabling agents to reliably save and retrieve information across multiple sessions, ensuring continuity and building upon previous interactions. By offering a structured and managed environment for agent data, it facilitates more complex and stateful AI applications.

What it Does

This MCP server acts as a central repository for AI agent documents. It allows agents to store text-based data, code snippets, configuration files, or any other relevant information. The system automatically handles versioning, meaning that changes to documents are tracked, and previous states can be accessed. This is crucial for debugging, auditing, and allowing agents to revert to earlier states if necessary. The multi-tenant architecture ensures that different agents or projects can operate independently within the same server instance without data interference.

Key Features

• Persistent Storage: Ensures that agent data is not lost between sessions.
• Version Control: Tracks changes to documents, enabling retrieval of historical versions.
• Searchable Data: Allows agents to efficiently find and retrieve stored information.
• Multi-Tenant Architecture: Supports isolated storage for multiple agents or projects.
• MCP Protocol Compliance: Integrates seamlessly with other MCP-based AI agent frameworks.
• Save and Retrieve Functionality: Provides core capabilities for managing agent memory and knowledge.

Who it's For

This tool is specifically built for AI developers and researchers working on agent-based systems. It is ideal for those developing:

• Stateful AI Agents: Agents that need to remember context, learn over time, and maintain a consistent persona.
• Collaborative AI Systems: Agents that need to share and access common knowledge bases.
• Long-Running AI Processes: Applications requiring reliable data persistence for extended operation.
• AI Agents with Complex Memory Requirements: Systems that benefit from structured, versioned, and searchable data storage.