# .github

> .github — devart-ai-connectivity-github. Use this tool when you need to establish AI-to-data connectivity across various databases and cloud applications. It solves problems related to data access and integration, enabling seamless interactions between AI systems and diverse data sources. With git capabilities, it provides a streamlined interface for connecting AI agents to multiple data platforms.

Canonical page: https://skillsregistry.net/skills/devart-ai-connectivity-github  
JSON: https://api.skillsregistry.net/v1/skills/devart-ai-connectivity-github

## Description

Devart AI Connectivity — MCP Servers for AI-to-data connectivity across databases and cloud apps.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/devart-ai-connectivity/.github)

## 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": "devart-ai-connectivity-github"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/devart-ai-connectivity-github` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/devart-ai-connectivity-github/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