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Gemini MCP Server — Hosted Ai Integration

MCP Server language Hosted language Public

Google Gemini AI — generate content, embed text, count tokens, and run system-instructed completions.

aerostack @aerostack verified
• v0.1.0 • MIT • Updated Jun 28, 2026
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Use with AI AssistantsMCP

Connect Claude, Cursor, or any MCP-compatible client — then call tools directly

① Add This MCP Server

Paste into your AI client config — then all its tools are available instantly.

.claude/mcp.json
{
  "mcpServers": {
    "gemini": {
      "url": "https://mcp.aerostack.dev/s/aerostack/mcp-gemini",
      "headers": {
        "Authorization": "Bearer YOUR_AEROSTACK_TOKEN"
      }
    }
  }
}

Replace YOUR_AEROSTACK_TOKEN with your API token from the dashboard.

② Call a Tool

Ask your AI assistant to call a specific tool, or send raw JSON-RPC:

+1 more

Natural Language Prompt

“Use the _ping tool to verify gemini credentials by calling a lightweight read endpoint. used internally by aerostack to validate credentials”

Using a Workspace?

Add this MCP to your Workspace — your team shares one token, secrets are stored securely, and every AI agent in the workspace can call it without per-user setup.

add_circleAdd to Workspace

description Overview

mcp-gemini — Gemini MCP Server

Google Gemini AI — generate content, embed text, count tokens, and run system-instructed completions.

Live endpoint: https://mcp.aerostack.dev/s/aerostack/mcp-gemini

What You Can Do

This MCP server gives AI agents access to Gemini via 6 tools. Connect it to any Aerostack workspace and your agents can interact with Gemini directly.

Available Tools

Tool Description
generate_content Generate content using a Gemini model. Supports text generation with optional temperature and token controls. Default model is gemini-2.0-flash.
list_models List all available Gemini models with their capabilities, token limits, and supported generation methods.
get_model Get detailed information about a specific Gemini model including token limits and supported methods.
count_tokens Count the number of tokens in a prompt without generating a response. Useful for estimating costs.
embed_content Generate text embeddings using text-embedding-004 model. Returns a 768-dimensional embedding vector for semantic search, clustering, or similarity tasks.
generate_with_system Generate content with a system instruction that sets the model persona and context. More powerful than a regular system prompt in many use cases.

Configuration

Variable Required Description
GEMINI_API_KEY Yes Your GEMINI API KEY from the service's developer settings

Quick Start

Add to Aerostack Workspace
  1. Go to aerostack.dev → Your Project → MCPs
  2. Search for "Gemini" and click Add to Workspace

Add the following secrets under Project → Secrets:

  • GEMINI_API_KEY

Once added, every AI agent in your workspace can use Gemini tools automatically.

Direct API Call
curl -X POST https://mcp.aerostack.dev/s/aerostack/mcp-gemini \
  -H 'Content-Type: application/json' \
  -H 'X-Mcp-Secret-GEMINI-API-KEY: your-gemini-api-key' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"generate_content","arguments":{}}}'

License

MIT

terminal Tools (7)

Available tools on this MCP server. Each tool can be called directly from any AI agent.

terminal
_ping #1

Verify Gemini credentials by calling a lightweight read endpoint. Used internally by Aerostack to validate credentials.

terminal
generate_content #2

Generate content using a Gemini model. Supports text generation with optional temperature and token controls. Default model is gemini-2.0-flash.

terminal
list_models #3

List all available Gemini models with their capabilities, token limits, and supported generation methods.

terminal
get_model #4

Get detailed information about a specific Gemini model including token limits and supported methods.

terminal
count_tokens #5

Count the number of tokens in a prompt without generating a response. Useful for estimating costs.

terminal
embed_content #6

Generate text embeddings using text-embedding-004 model. Returns a 768-dimensional embedding vector for semantic search, clustering, or similarity tasks.

terminal
generate_with_system #7

Generate content with a system instruction that sets the model persona and context. More powerful than a regular system prompt in many use cases.

Details

upgrade Version 0.1.0
gavel License MIT
wifi Transport streamable-http
lock Access Public
category Category AI
terminal Tools 7

language Live Endpoint

https://mcp.aerostack.dev/s/aerostack/mcp-gemini

Sub-50ms globally · Zero cold start

Publisher

aerostack
@aerostack verified

Pre-built functions for the most common MCP tool patterns. Clone, extend, and deploy.

Tags

gemini google llm generative-ai embeddings
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Frequently asked questions

What is the Gemini MCP server and what can it do? +

The Gemini MCP server is hosted on Aerostack and exposes these tools to your AI agent: `_ping`, `generate_content`, `list_models`, `get_model`, `count_tokens`. You get one hosted URL — no self-hosting — that works from Claude, Cursor, ChatGPT, Gemini, VS Code, or any MCP-compatible client, and you can share it with your team or combine it with other MCP servers in a workspace.

Is the Gemini MCP server hosted, or do I have to run it myself? +

It's hosted on Aerostack's edge infrastructure — you don't deploy or maintain anything. Add it to a workspace and you get one authenticated URL, with secrets encrypted, that any AI agent or editor can connect to. Use it solo or share the same URL across your whole team.

Which AI agents and editors can use the Gemini MCP server? +

Any MCP client: Claude and Claude Code, Cursor, ChatGPT, Gemini, Windsurf, Cline, VS Code, and custom agents. Because it's one hosted URL, the same Gemini MCP server works everywhere — and you can compose it with other MCP servers, skills, and functions behind a single workspace URL.

How do I install the Gemini MCP server in Claude Desktop? +

Add the following to your Claude Desktop config (`claude_desktop_config.json`): ```json { "mcpServers": { "@aerostack/mcp-gemini": { "command": "npx", "args": ["-y", "@aerostack/@aerostack/mcp-gemini"] } } } ``` Then restart Claude Desktop and the tools will appear automatically.

How do I use the Gemini MCP server in Cursor? +

In Cursor, open **Settings → MCP** and add: ```json { "name": "@aerostack/mcp-gemini", "command": "npx", "args": ["-y", "@aerostack/@aerostack/mcp-gemini"] } ``` Save and reload Cursor. The MCP tools will be available in Agent mode.

Does Gemini MCP require authentication? +

Yes. Gemini requires authentication. Check the MCP's documentation for the required credentials.