# com.googleapis.datastream/mcp

> Use this tool when you need to manage Google Cloud Datastream resources efficiently, solving problems such as stream creation, configuration, and monitoring. It allows you to interact with Datastream using natural language commands, accepting text inputs and providing resource updates as outputs. Ideal for streamlining data integration and migration tasks in Google Cloud environments.

Canonical page: https://skillsregistry.net/skills/com-googleapis-datastream-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-googleapis-datastream-mcp

## Description

Interact with your Google Cloud Datastream resources using natural language commands.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-22

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.googleapis.datastream%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://datastream.googleapis.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": "com-googleapis-datastream-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-googleapis-datastream-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-googleapis-datastream-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