KevoDB
Exposes KevoDB operations through a Multimodal Communication Protocol, enabling AI agents to interact with KevoDB using a standardized API.
About
KevoDB enables AI agents to interact with KevoDB using a standardized Multimodal Communication Protocol (MCP) API. It exposes core KevoDB functionalities like key-value operations, range scans, transactions, batch operations, and database statistics through simple string-based commands with UTF-8 encoding. By connecting to the MCP endpoint, AI agents can leverage KevoDB's capabilities seamlessly.
Key Features
- Includes tools for transaction management (begin, commit, rollback)
- Supports connecting to KevoDB instances running on different hosts and ports
- Provides a simple string-based API with UTF-8 encoding
- Exposes KevoDB operations through MCP tools
- Supports core KevoDB functionality (get, put, delete, scans, transactions, batch operations, stats)
- 1 GitHub stars
Use Cases
- Enabling AI agents to store and retrieve data from KevoDB
- Integrating KevoDB with AI applications
- Automating database interactions through a standardized API
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