KevoDB MCP Server

This project implements a MCP (Multimodal Communication Protocol) server for KevoDB, allowing AI agents to interact with KevoDB using a standardized API.

Features

Exposes KevoDB operations through MCP tools
Supports all core KevoDB functionality:
- Basic key-value operations (get, put, delete)
- Range, prefix, and suffix scans
- Transactions
- Batch operations
- Database statistics
Simple string-based API with UTF-8 encoding

Prerequisites

Python 3.8+
Running KevoDB server (default: localhost:50051)
FastMCP library
Python-Kevo SDK

Installation

Install dependencies:

pip install fastmcp python-kevo

Ensure KevoDB is running on localhost:50051 (or set the KEVO_HOST and KEVO_PORT environment variables to connect to a different endpoint)

Usage

Running the MCP Server

Start the MCP server:

python main.py

This will launch the MCP server on http://localhost:9000/mcp

You can configure the KevoDB connection using environment variables:

KEVO_HOST: Hostname of the KevoDB server (default: "localhost")
KEVO_PORT: Port of the KevoDB server (default: "50051")

Example:

KEVO_HOST=192.168.1.100 KEVO_PORT=5000 python main.py

Using with AI Agents

AI agents that support MCP can connect to this server and use all exposed tools. The server provides the following tools:

Tool	Description
`connect`	Connect to the KevoDB server
`get`	Get a value by key from KevoDB
`put`	Store a key-value pair in KevoDB
`delete`	Delete a key-value pair from KevoDB
`scan`	Scan keys in KevoDB with options
`batch_write`	Perform multiple operations in a batch
`get_stats`	Get database statistics
`begin_transaction`	Begin a new transaction and return transaction ID
`commit_transaction`	Commit a transaction by ID
`rollback_transaction`	Roll back a transaction by ID
`tx_put`	Store a key-value pair within a transaction
`tx_get`	Get a value by key within a transaction
`tx_delete`	Delete a key-value pair within a transaction
`cleanup`	Close the KevoDB connection

Integration with AI Applications

To use KevoDB with your AI application:

Start the KevoDB server
Start this MCP server
Configure your AI agent to connect to the MCP endpoint
The AI agent can now use all KevoDB operations through the MCP interface

License

MIT

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

Implements a Multimodal Communication Protocol server for KevoDB, allowing AI agents to interact with the key-value database through a standardized API with support for core operations like get/put, scans, transactions, and batch operations.

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