# Gmail MCP Server by CData

> Gmail MCP Server by CData — cdatasoftware-gmail-mcp-server-by-cdata. Use this tool when you need to connect to Gmail data and perform various operations, such as sending and receiving emails, managing labels and threads, and executing searches. It solves problems related to email integration, automation, and data synchronization, providing a scalable and secure interface for accessing Gmail data. The tool accepts API requests as input and returns JSON data as output, making it suitable for use in web, mobile, and desktop applications.

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

## Description

This read-only MCP Server allows you to connect to Gmail 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:** communication
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ncr6ltel94)
- **Repository:** <https://github.com/CDataSoftware/gmail-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-gmail-mcp-server-by-cdata"
    }
  }
}
```

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