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GemForge (Gemini Tools) MCP Server

@PV-Bhat

Repository

Basic information

Category

AI & Agents

License

MIT

Transports

stdio

Author

PV-Bhat

About GemForge (Gemini Tools) MCP Server

MCP server to empower your agent with enterprise-grade Gemini integration for codebase analysis, live search, text/PDF/image processing, and more on your favorite MCP clients.

#gemini#websearch#coding#codebase#file-system#image-analysis#reasoning#gemini-2-5-pro

GemForge (Gemini Tools) MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "GemForge": {
      "command": "node",
      "args": [
        "./dist/index.js"
      ],
      "env": {
        "GEMINI_API_KEY": "Apikeyhere"
      }
    }
  }
}

GemForge (Gemini Tools) MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is GemForge (Gemini Tools)?

GemForge (Gemini Tools) is an enterprise-grade MCP server that bridges Google's Gemini AI with MCP agents like Claude, Roo Code, and Windsurf. It enables codebase analysis, real‑time web search, and processing of text, PDFs, and images across 60+ file formats.

How to use GemForge (Gemini Tools)?

Install with npx @gemforge/mcp-server@latest init or manually via npm install gemforge-mcp. Configure the MCP client with the path to the server binary and set the GEMINI_API_KEY environment variable. Invoke tools such as gemini_search, gemini_reason, gemini_code, and gemini_fileops from your agent.

Key features of GemForge (Gemini Tools)

  • Real‑time web access via gemini_search
  • Advanced step‑by‑step reasoning with gemini_reason
  • Full repository code analysis and generation with gemini_code
  • Multi‑file processing for 60+ formats with gemini_fileops
  • Intelligent automatic model selection per task
  • Automatic fallbacks, rate‑limit management, and exponential backoff

Use cases of GemForge (Gemini Tools)

  • Fetch breaking news and market trends using live search
  • Debug and refactor entire codebases with repository‑level analysis
  • Compare contract versions or documents across PDF and other formats
  • Solve complex logic problems with transparent reasoning steps
  • Process images, code, and structured data in a single workflow

Frequently asked questions

1

What dependencies does GemForge (Gemini Tools) require?

A valid Gemini API key (`GEMINI_API_KEY`) is required. Optionally, set `GEMINI_PAID_TIER=true` for better rate limits.

2

Which transport does it use?

The server runs as a child process via Node.js (stdio transport). It must be configured in the MCP client’s configuration file (e.g., `claude_desktop_config.json`).

3

How does model selection work?

GemForge automatically routes each tool to the optimal Gemini model (e.g., `gemini-2.5-flash` for search, `gemini-2.5-pro` for reasoning and code). Users can override with a `model_id` parameter or the `DEFAULT_MODEL_ID` environment variable.

4

Are there any file‑type limitations?

It supports 60+ file types including PDFs, images, code files, and structured XML. File processing is handled by the `gemini_fileops` tool.

5

Is it production‑ready?

Yes. The server includes enterprise‑grade error logging, automatic model fallbacks during rate limits or disruptions, retry logic, and API resilience mechanisms.

Comments

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