# Apache AGE MCP Server

> Use this tool when you need to interact with graph databases using natural language, enabling AI agents to create, update, query, and visualize complex graph structures with ease. It solves problems related to graph data management, querying, and visualization, providing a user-friendly interface for inputting natural language commands and outputting graph data and visualizations. Ideal for applications requiring intuitive graph database management and analysis.

Canonical page: https://skillsregistry.net/skills/veloper-agemcp  
JSON: https://api.skillsregistry.net/v1/skills/veloper-agemcp

## Description

Enables AI agents to manage and interact with Apache AGE graph databases through natural language. Supports creating, updating, querying, and visualizing multiple graphs with vertices and edges.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iabz2wcfjg)
- **Repository:** <https://github.com/veloper/agemcp>

## 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": "veloper-agemcp"
    }
  }
}
```

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