README.md•1.24 kB
# Gemimi MCP Server (in Python)
Model Context Protocol (MCP) server for Gemimi integration, built on FastMCP.
This server is implemented in Python, with fastmcp.
## Quick Start
1. Build the Docker image:
```bash
docker build -t gemini-mcp-server .
```
## Integration with Cursor/Claude
In MCP Settings -> Add MCP server, add this config:
```json
{
"mcpServers": {
"gemini": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"--network",
"host",
"-e",
"GEMINI_API_KEY",
"-e",
"GEMINI_MODEL",
"-e",
"GEMINI_BASE_URL",
"-e",
"HTTP_PROXY",
"-e",
"HTTPS_PROXY",
"gemini-mcp-server:latest"
],
"env": {
"GEMINI_API_KEY":"your_api_key_here",
"GEMINI_MODEL":"gemini-2.5-flash",
"GEMINI_BASE_URL":"https://generativelanguage.googleapis.com/v1beta/openai/",
"HTTP_PROXY":"http://127.0.0.1:17890",
"HTTPS_PROXY":"http://127.0.0.1:17890"
}
}
}
}
```
Note: Don't forget to replace `GEMINI_API_KEY`、`GEMINI_MODEL`、`GEMINI_BASE_URL`、`HTTP_PROXY`、`HTTPS_PROXY` values with your actual Gemimi credentials and instance URL.