KevoDB MCP Server
OfficialConnects AI agents to KevoDB databases through a standardized API. Enables key-value operations, transactions, and batch processing via the Multimodal Communication Protocol.
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.
What it does
- Store and retrieve key-value pairs
- Execute range, prefix, and suffix scans
- Manage database transactions
- Perform batch operations
- Query database statistics
- Connect to remote KevoDB instances
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About KevoDB MCP Server
KevoDB MCP Server is an official MCP server published by KevoDB that provides AI assistants with tools and capabilities via the Model Context Protocol. KevoDB MCP Server — a Multimodal Communication Protocol server offering a standardized database API for AI agents to acc It is categorized under databases, developer tools.
How to install
You can install KevoDB MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
KevoDB MCP Server is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
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_HOSTandKEVO_PORTenvironment 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
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