# datum-mcp

> datum-mcp — datum-cloud-datum-mcp. Use this tool when you need to securely access and manage Datum resources from remote AI tools, leveraging OAuth for authentication and authorization. It solves problems of secure data access and integration, providing a reliable interface for AI tools to interact with Datum resources. Ideal for use cases requiring authorized data access, such as data synchronization and version control via git.

Canonical page: https://skillsregistry.net/skills/datum-cloud-datum-mcp  
JSON: https://api.skillsregistry.net/v1/skills/datum-cloud-datum-mcp

## Description

A remote MCP with OAuth that gives AI tools secure access to your Datum resources

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** security
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/datum-cloud/datum-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": "datum-cloud-datum-mcp"
    }
  }
}
```

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