KevoDB MCP Server — a Multimodal Communication Protocol server offering a standardized database API for AI agents to acc
Enable Claude to query your database directly using natural language
Example: Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly
Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster
Generate complex reports and analytics without leaving conversation
Example: Analyze sales trends, cohort retention, user behavior patterns conversationally
Democratize data access—non-technical team members can query databases
Understand database structure, relationships, and data models
Example: 'Explain the user_orders table schema and its relationships'
Onboard engineers faster, explore unfamiliar databases efficiently
Run data quality queries to catch anomalies and inconsistencies
Example: Find duplicate records, missing values, orphaned foreign keys automatically
Maintain data integrity with less manual SQL work
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Useful MCP listing: KevoDB MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.
We wired KevoDB MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend KevoDB MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: KevoDB MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.
KevoDB MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Strong directory entry: KevoDB MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend KevoDB MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, KevoDB MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired KevoDB MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Useful MCP listing: KevoDB MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.
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Claude Desktop configuration
{
"mcpServers": {
"kevodb-mcp": {
"command": "uvx",
"args": [
"kevodb-mcp"
],
"env": {
"KEVO_HOST": "localhost",
"KEVO_PORT": "50051"
}
}
}
}Connects AI agents to KevoDB databases through a standardized API. Enables key-value operations, transactions, and batch processing via the Multimodal Communication Protocol.
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.
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.
This project implements a MCP (Multimodal Communication Protocol) server for KevoDB, allowing AI agents to interact with KevoDB using a standardized API.
pip install fastmcp python-kevo
KEVO_HOST and KEVO_PORT environment variables to connect to a different endpoint)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
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 |
To use KevoDB with your AI application:
Time estimate: 15-30 minutes including configuration and testing
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.
Protocols
Compatibility
✓ Use when
Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.
✗ Avoid when
Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.
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