# Google Cloud Natural Language MCP Server

> Use this tool when you need to analyze and understand human language, enabling applications such as sentiment analysis, entity extraction, and content classification. It solves problems related to text processing and insight generation, providing outputs such as sentiment scores, extracted entities, and content categories. It takes unstructured text as input and returns structured data via the Google Cloud Natural Language API interface.

Canonical page: https://skillsregistry.net/skills/pacamaraprogress-naturallanguageapimcp  
JSON: https://api.skillsregistry.net/v1/skills/pacamaraprogress-naturallanguageapimcp

## Description

Enables Claude to analyze sentiment, extract entities, classify content, and analyze syntax via Google Cloud Natural Language API.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zeask6288o)
- **Repository:** <https://github.com/Pacamaraprogress/naturallanguageapimcp>

## 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": "pacamaraprogress-naturallanguageapimcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pacamaraprogress-naturallanguageapimcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pacamaraprogress-naturallanguageapimcp/pull`

---
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