# drevo-mcp

> Use this tool when you need to enable AI clients to query and traverse a graph database using natural language, or when you want to expose a drevo graph database to AI models via the Model Context Protocol. It solves problems of complex graph querying and provides a simple interface for AI clients to interact with the database. The tool takes natural language inputs and returns relevant graph data as output.

Canonical page: https://skillsregistry.net/skills/ice1x-drevo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ice1x-drevo-mcp

## Description

A self-contained FastMCP server that exposes a running drevo graph database to AI clients as Model Context Protocol tools, enabling graph queries and traversal via natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xfdj7prel4)
- **Repository:** <https://github.com/ice1x/drevo-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": "ice1x-drevo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ice1x-drevo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ice1x-drevo-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