Professional Gemini API integration for Claude and MCP-compatible hosts with intelligent model selection and advanced file handling
Professional Gemini API integration for Claude and MCP-compatible hosts with intelligent model selection and advanced file handling
GemForge is the essential bridge between Google's Gemini AI and the MCP ecosystem:
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| gemini_search | Web-connected information retrieval |
| gemini_reason | Complex problem solving with step-by-step logic |
| gemini_code | Deep code understanding and generation |
| gemini_fileops | Multi-file processing across 60+ formats |
{
"mcpServers": {
"GemForge": {
"command": "node",
"args": [
"./dist/index.js"
],
"env": {
"GEMINI_API_KEY": "YOUR_GEMINI_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| GEMINI_API_KEY | Declared in the maintainer’s client configuration. | Yes |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
📖 Documentation → Setup guides, environment variables, and the full tool reference live on the hosted docs site.
Deterministic validation for AI-generated artifacts: JSON Schema, OpenAPI response, SQL syntax.
Professional SSH/SFTP file access to iOS devices for MCP-compatible AI clients.
Your AI pair programmer is lying to you. Sally isn't.