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Google Cloud natural language tool MCP server

David AshbyDavid Ashby
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2/3/2026
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🛠️ Google Cloud Natural Language Tool MCP Server

Complete MCP server exposing all Google Cloud Natural Language Tool operations to AI agents. Zero configuration needed - all 1 operations pre-built.

⚡ Quick Setup

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  1. Import this workflow into your n8n instance
  2. Activate the workflow to start your MCP server
  3. Copy the webhook URL from the MCP trigger node
  4. Connect AI agents using the MCP URL

🔧 How it Works

• MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every Google Cloud Natural Language Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Google Cloud Natural Language Tool tool with full error handling

📋 Available Operations (1 total)

Every possible Google Cloud Natural Language Tool operation is included:

🔧 Document (1 operations)

• Analyze sentiment

🤖 AI Integration

Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options

Response Format: Native Google Cloud Natural Language Tool API responses with full data structure

Error Handling: Built-in n8n error management and retry logic

💡 Usage Examples

Connect this MCP server to any AI agent or workflow:

• Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints

✨ Benefits

• Complete Coverage: Every Google Cloud Natural Language Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic

> 🆓 Free for community use! Ready to deploy in under 2 minutes.

Google Cloud Natural Language Tool - MCP Server

This n8n workflow acts as a Model Context Protocol (MCP) server, designed to integrate with Langchain-based applications. It serves as a trigger point for AI models that need to interact with external tools or services, specifically within the context of the Google Cloud Natural Language API (as hinted by the directory name, though not explicitly defined in the provided JSON).

What it does

This workflow primarily provides an entry point for Langchain applications.

  1. Listens for MCP Requests: The workflow starts with an "MCP Server Trigger" node, which listens for incoming requests following the Model Context Protocol. This means it's ready to receive instructions or data from a Langchain agent or application.
  2. Provides a Langchain Tool Endpoint: It exposes an endpoint that Langchain agents can call as a "tool." When an agent decides to use this tool, it sends a request to this MCP server.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance to host this workflow.
  • Langchain Application: An external application built with Langchain that is configured to use this n8n workflow as a tool.
  • Google Cloud Natural Language API: (Implicit, based on directory name) While not configured in this basic JSON, the intended use case suggests that subsequent nodes in a complete workflow would interact with the Google Cloud Natural Language API. This would require:
    • A Google Cloud Project with the Natural Language API enabled.
    • Appropriate Google Cloud credentials (e.g., a Service Account key) configured in n8n.

Setup/Usage

  1. Import the Workflow:
    • Download the provided JSON content.
    • In your n8n instance, go to "Workflows" and click "New".
    • Click the "Import from JSON" button and paste the workflow JSON.
  2. Activate the Workflow: After importing, ensure the workflow is activated by toggling the "Active" switch in the top right corner.
  3. Configure Langchain Application:
    • In your Langchain application, configure a tool that points to the webhook URL exposed by the "MCP Server Trigger" node. You can find this URL by clicking on the "MCP Server Trigger" node and looking for the "Webhook URL" in its settings.
    • Your Langchain agent should be designed to call this tool when it needs to perform natural language processing tasks.

This workflow provides the foundational trigger for a Langchain-powered tool. To make it functional for natural language processing, you would extend it by adding nodes that interact with the Google Cloud Natural Language API (e.g., using the "Google Cloud Language" node) to process text and return results to the Langchain agent.

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