# ArangoDB

> Use this tool when you need to interact with ArangoDB databases through a standardized interface, solving problems in data analysis, content management, and document storage. It provides core functionality for querying, inserting, updating, and deleting documents, with inputs including parameterized AQL queries and outputs of document metadata. Use ArangoDB when building AI-assisted applications requiring flexible database operations and seamless integration with ArangoDB.

Canonical page: https://skillsregistry.net/skills/ravenwits-arangodb  
JSON: https://api.skillsregistry.net/v1/skills/ravenwits-arangodb

## Description

This ArangoDB MCP server, developed using TypeScript, provides a standardized interface for interacting with ArangoDB databases through the Model Context Protocol. It implements core database operations including querying, insertion, updating, and deletion of documents, as well as listing collections. The server utilizes the ArangoDB JavaScript driver and MCP SDK to offer a seamless integration between AI models and ArangoDB. It supports parameterized AQL queries and handles document metadata, making it suitable for a wide range of database-driven applications. This implementation is particularly useful for AI-assisted data analysis, content management systems, and applications requiring flexible document storage and retrieval in ArangoDB.

## Trust

- **Trust score (0–1):** 0.91
- **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/ravenwits-arangodb)
- **Repository:** <https://github.com/ravenwits/mcp-server-arangodb>

## 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": "ravenwits-arangodb"
    }
  }
}
```

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