# KevoDB

> Use this tool when you need to interact with a key-value database system, such as KevoDB, to store and retrieve structured data with transaction support. It solves problems of persistent storage and data querying for AI applications through a standardized interface with core database operations. The KevoDB MCP Server accepts string inputs and returns corresponding data outputs, making it ideal for use cases requiring simple, transactional data management.

Canonical page: https://skillsregistry.net/skills/kevodb  
JSON: https://api.skillsregistry.net/v1/skills/kevodb

## Description

KevoDB MCP Server provides a standardized interface for AI agents to interact with KevoDB, a key-value database system. Developed by KevoDB, it exposes core database operations including key-value operations, range/prefix/suffix scans, transactions, and batch operations through MCP tools. The server connects to a running KevoDB instance (configurable via environment variables) and handles UTF-8 encoding/decoding of data, making it accessible through a simple string-based API. This implementation is particularly valuable for AI applications that need persistent storage with transaction support, enabling agents to read, write, and query structured data without direct database integration.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kevodb)
- **Repository:** <https://github.com/kevodb/kevo-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kevodb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kevodb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kevodb/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt