Gemini AI MCP SERVER

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🚀 Gemini AI MCP Server

The Gemini AI MCP Server integrates Google’s Gemini language models with Apify’s automation platform using the Model Context Protocol (MCP). This actor acts as a bridge between scraping workflows and AI analysis, allowing real-time natural-language understanding, data summarization, classification, and structured extraction within your Apify or AI pipelines.

🧠 Key Features

✅ Gemini API integration Seamlessly connects with Google’s Gemini models (gemini-2.5-flash, etc.) using your API key.

✅ Real-time AI data processing Analyze and interpret scraped datasets as soon as they’re collected — directly in your Apify workflows.

✅ Flexible prompt customization Define tasks such as summarization, sentiment analysis, categorization, or structured extraction using natural language.

✅ Apify workflow integration Run any Apify Actor (e.g., bhansalisoft~google-map-business-scraper) and automatically analyze its dataset output using Gemini AI.

✅ Secure key storage Users can safely add, update, or verify their Gemini API key using interactive MCP tools.

✅ Structured output for automation Return JSON-formatted results suitable for further processing or database insertion.

🧩 Tools Exposed by MCP Server

🔍 MCP Connection Configuration (Claude Desktop / LangGraph)

MCP SERVER URL Will be

https://bhansalisoft--gemini-mcp-server.apify.actor/mcp

Add to your claude_desktop_config.json:

{
"mcpServers":{
"gemini-mcp-server":{
"command":"npx",
"args":[
"mcp-remote",
"https://bhansalisoft--gemini-mcp-server.apify.actor/mcp?token=[Your APIFY KEY]"
]
}
}
}

After connection, all Gemini tools will appear automatically in your MCP client.

Demo Videos

Check Demo video using TEST MCP Client

Check Demo using MCP inspector Tools