# mcp-server-graphdb

> Use this tool when you need to manage and visualize complex relationships between data entities, such as Git repositories, to solve problems like data integration and knowledge graph construction. It provides a graph database interface to input and output data, allowing for efficient querying and analysis of interconnected data. Ideal for use cases involving data modeling, repository management, and collaborative development.

Canonical page: https://skillsregistry.net/skills/asanchez75-mcp-server-graphdb  
JSON: https://api.skillsregistry.net/v1/skills/asanchez75-mcp-server-graphdb

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/asanchez75/mcp-server-graphdb)

## 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": "asanchez75-mcp-server-graphdb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/asanchez75-mcp-server-graphdb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/asanchez75-mcp-server-graphdb/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