Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@KevoDB MCP Server store key 'greeting' with value 'Hello, World!'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
This project implements a MCP (Multimodal Communication Protocol) server for KevoDB, allowing AI agents to interact with KevoDB using a standardized API.
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
Related MCP server: KDB MCP Service
Python 3.8+
Running KevoDB server (default: localhost:50051)
FastMCP library
Python-Kevo SDK
Install dependencies:
pip install fastmcp python-kevoEnsure KevoDB is running on localhost:50051 (or set the KEVO_HOST and KEVO_PORT environment variables to connect to a different endpoint)
Start the MCP server:
python main.pyThis 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.pyAI agents that support MCP can connect to this server and use all exposed tools. The server provides the following tools:
Tool | Description |
| Connect to the KevoDB server |
| Get a value by key from KevoDB |
| Store a key-value pair in KevoDB |
| Delete a key-value pair from KevoDB |
| Scan keys in KevoDB with options |
| Perform multiple operations in a batch |
| Get database statistics |
| Begin a new transaction and return transaction ID |
| Commit a transaction by ID |
| Roll back a transaction by ID |
| Store a key-value pair within a transaction |
| Get a value by key within a transaction |
| Delete a key-value pair within a transaction |
| Close the KevoDB connection |
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
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