# CData Connect AI

> Use this tool when you need to securely connect AI systems to enterprise data sources, enabling seamless access and analysis of critical data. It solves problems of data siloing and integration, providing a cloud-hosted solution for AI-driven insights. With CData Connect AI, input your enterprise data sources and output secure, AI-ready data feeds for informed decision-making.

Canonical page: https://skillsregistry.net/skills/io-github-cdatacam-connect-ai  
JSON: https://api.skillsregistry.net/v1/skills/io-github-cdatacam-connect-ai

## Description

Cloud-hosted MCP server for secure AI access to enterprise data sources via CData Connect AI.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.cdatacam%2Fconnect-ai)

## Use it

MCP endpoint published by the skill: `https://mcp.cloud.cdata.com/mcp`

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": "io-github-cdatacam-connect-ai"
    }
  }
}
```

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