# KevoDB MCP Server

> Use this tool when you need to interact with a key-value database for creating, reading, updating, and deleting data, as well as performing transactions and scans. It provides a interface for AI agents to access and manipulate data in KevoDB through MCP tools. Ideal for use cases requiring efficient data storage and retrieval, such as data caching, session management, and real-time analytics.

Canonical page: https://skillsregistry.net/skills/fastmcp-me-kevo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fastmcp-me-kevo-mcp

## Description

Enables AI agents to interact with KevoDB, a key-value database, through MCP tools for CRUD operations, transactions, and scans.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-27

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kpgeipfqiy)
- **Repository:** <https://github.com/fastmcp-me/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": "fastmcp-me-kevo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fastmcp-me-kevo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fastmcp-me-kevo-mcp/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