Go MCP server leveraging Google Gemini API’s Search Tool for grounded, web-informed generation.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"gemini-search": {
"args": [
"run",
"-i",
"--rm",
"-e",
"GEMINI_API_KEY=your-api-key",
"cnosuke/mcp-gemini-grounded-search:latest",
"server"
],
"command": "docker"
}
}
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MCP Gemini Grounded Search is a Go-based MCP server that provides grounded search functionality using Google's Gemini API. MCP clients such as Claude Desktop and Claude Code can perform real-time web searches and retrieve up-to-date information with source attribution.
No automated test available for this server. Check the GitHub README for setup instructions.
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MCP Gemini Grounded Search is a Go-based MCP server that provides grounded search functionality using Google's Gemini API. MCP clients such as Claude Desktop and Claude Code can perform real-time web searches and retrieve up-to-date information with source attribution.
For local development:
docker pull cnosuke/mcp-gemini-grounded-search:latest
docker run -i --rm -e GEMINI_API_KEY="your-api-key" cnosuke/mcp-gemini-grounded-search:latest server
Add an entry to your claude_desktop_config.json:
{
"mcpServers": {
"gemini-search": {
"command": "docker",
"args": ["run", "-i", "--rm", "-e", "GEMINI_API_KEY=your-api-key", "cnosuke/mcp-gemini-grounded-search:latest", "server"]
}
}
}
claude mcp add-json mcp-gemini-grounded-search '{
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "GEMINI_API_KEY",
"-e", "GEMINI_MODEL_NAME",
"-e", "GEMINI_THINKING_LEVEL",
"cnosuke/mcp-gemini-grounded-search:latest",
"server"
],
"env": {
"GEMINI_MODEL_NAME": "gemini-3.1-pro-preview",
"GEMINI_THINKING_LEVEL": "LOW",
"GEMINI_API_KEY": "<your-gemini-api-key>"
}
}'
# Build
make bin/mcp-gemini-grounded-search
# stdio mode (for Claude Desktop / Claude Code)
./bin/mcp-gemini-grounded-search server --config config.yml
# Streamable HTTP mode
./bin/mcp-gemini-grounded-search httpserver --config config.yml
{
"mcpServers": {
"gemini-search": {
"command": "/path/to/mcp-gemini-grounded-search",
"args": ["server", "--config", "/path/to/config.yml"],
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
}
The httpserver subcommand starts an HTTP server compatible with the MCP Streamable HTTP transport.
HTTP_AUTH_TOKEN=secret GEMINI_API_KEY=your-key \
./bin/mcp-gemini-grounded-search httpserver --config config.yml
# Health check (no auth required)
curl http://localhost:8080/health
# MCP endpoint (auth required)
curl -H "Authorization: Bearer secret" http://localhost:8080/mcp
HTTP-specific settings can be configured entirely via environment variables — no need to put secrets in config.yml.
log: 'path/to/mcp-gemini-grounded-search.log' # empty = no log output
debug: false
gemini:
api_key: '' # Set via GEMINI_API_KEY env var
model_name: 'gemini-3.1-pro-preview'
max_tokens: 5000
thinking_level: 'LOW' # Gemini 3.x series: MINIMAL, LOW, MEDIUM, HIGH
# thinking_budget: 0 # Gemini 2.5 series: token count (0 = disable thinking)
http:
port: 8080
endpoint_path: /mcp
auth_token: '' # Set via HTTP_AUTH_TOKEN env var
allowed_origins: [] # e.g. ['https://example.com'] — empty = allow all
heartbeat_seconds: 30
Configuration priority: defaults → config.yml → environment variables
| Variable | Description |
|---|---|
GEMINI_API_KEY | Gemini API key (required) |
GEMINI_MODEL_NAME | Model name (default: gemini-3.1-pro-preview) |
GEMINI_MAX_TOKENS | Max response tokens (default: 5000) |
GEMINI_THINKING_LEVEL | MINIMAL / LOW / MEDIUM / HIGH (Gemini 3.x) |
GEMINI_THINKING_BUDGET | Token budget for |