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KevoDB MCP Server▌

by KevoDB

KevoDB MCP Server — a Multimodal Communication Protocol server offering a standardized database API for AI agents to acc

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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Full transaction supportConfigurable remote connectionsSimple string-based API

best for

/ AI agents working with key-value databases
/ Applications requiring structured data storage
/ Systems needing transactional data operations

capabilities

/ 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

what it does

Connects AI agents to KevoDB databases through a standardized API. Enables key-value operations, transactions, and batch processing via the Multimodal Communication Protocol.

about

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

MIT

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.

readme

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

FAQ

What is the KevoDB MCP Server MCP server?: KevoDB MCP Server is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?: Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for KevoDB MCP Server?: This profile displays 50 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases▌

Direct Database Queries from AI

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

Data Analysis & Reporting

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

Schema Exploration

Understand database structure, relationships, and data models

Example

'Explain the user_orders table schema and its relationships'

✓

Onboard engineers faster, explore unfamiliar databases efficiently

Data Validation & Quality Checks

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

Implementation Guide▌

Prerequisites

›Claude Desktop 0.7.0+ or Cursor with MCP support
›Database credentials (read-only recommended for safety)
›Network access from Claude client to database
›Understanding of database security and access control

Time Estimate

15-30 minutes including configuration and testing

Installation Steps

1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
3.Provide connection string: host, port, database, username, password
4.Restart Claude Desktop to load MCP server
5.Test connection: 'List all tables in database'
6.Run simple query: 'Show me 5 rows from users table'
7.Verify results and permissions are correct
8.Document query patterns for team use

Troubleshooting

⚠Connection refused: Check database is running and network accessible
⚠Authentication failed: Verify credentials, check user permissions
⚠Claude can't see tables: Grant appropriate read permissions to database user
⚠Slow queries: Add indexes, limit result set size, use read replicas
⚠MCP server not loading: Check config syntax, restart Claude Desktop

Best Practices▌

✓ Do

+Use read-only database credentials to prevent accidental writes
+Connect to read replica, not production primary database
+Set query timeout limits to prevent long-running queries
+Document database schema and common queries for AI context
+Monitor query performance and optimize slow queries
+Use connection pooling for better performance
+Test with non-production data first

✗ Don't

−Don't use production write credentials—risk of data corruption
−Don't query production database during peak traffic hours
−Don't expose sensitive PII without proper access controls
−Don't skip query result validation—AI can misinterpret schema
−Don't allow unlimited result set sizes—set LIMIT clauses
−Don't share database credentials in plain text config files

💡 Pro Tips

★Create database views for common queries to simplify AI access
★Add schema comments/descriptions so AI understands column meanings
★Use semantic table/column names ('customer_lifetime_value' not 'clv')
★Set up query logging to audit what Claude is querying
★Create saved query templates for recurring analysis
★Combine with data visualization tools for better insights

Technical Details▌

Architecture

MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.

Protocols

Model Context Protocol (MCP)
Database-specific protocols (PostgreSQL, MySQL, MongoDB)

Compatibility

PostgreSQL
MySQL
SQLite
MongoDB
Redis

When to Use This▌

✓ 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.

Integration▌

→Read replica connection for analytics queries
→Database view layer to abstract complex joins
→Query result caching for repeated questions
→Audit logging of all AI-generated queries

Discussion

Product Hunt–style comments (not star reviews)

No comments yet — start the thread.

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Ratings

4.7★★★★★50 reviews

★★★★★Min Bansal· Dec 16, 2024
Useful MCP listing: KevoDB MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.
★★★★★Pratham Ware· Dec 8, 2024
We wired KevoDB MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
★★★★★Daniel Khanna· Dec 8, 2024
I recommend KevoDB MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
★★★★★Alexander Singh· Dec 4, 2024
Strong directory entry: KevoDB MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.
★★★★★Yash Thakker· Nov 27, 2024
KevoDB MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
★★★★★Jin Yang· Nov 27, 2024
Strong directory entry: KevoDB MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.
★★★★★Sofia Thompson· Nov 23, 2024
I recommend KevoDB MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
★★★★★Arjun Khan· Nov 7, 2024
According to our notes, KevoDB MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
★★★★★Arjun Mehta· Oct 26, 2024
We wired KevoDB MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
★★★★★Dhruvi Jain· Oct 18, 2024
Useful MCP listing: KevoDB MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.

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