# GitHub MCP Server by CData

> GitHub MCP Server by CData — cdatasoftware-github-mcp-server-by-cdata. Use this tool when you need to connect to GitHub data and replicate it to a local server for real-time data access and analysis. It solves problems related to data integration, synchronization, and querying, enabling use cases such as data warehousing, business intelligence, and application development. The tool accepts GitHub credentials as input and outputs a replicated dataset, providing a scalable and secure interface for data-driven applications.

Canonical page: https://skillsregistry.net/skills/cdatasoftware-github-mcp-server-by-cdata  
JSON: https://api.skillsregistry.net/v1/skills/cdatasoftware-github-mcp-server-by-cdata

## Description

This read-only MCP Server allows you to connect to GitHub data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yblrb85dml)
- **Repository:** <https://github.com/CDataSoftware/github-mcp-server-by-cdata>

## 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": "cdatasoftware-github-mcp-server-by-cdata"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cdatasoftware-github-mcp-server-by-cdata` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cdatasoftware-github-mcp-server-by-cdata/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