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Gopher & Gemini MCP Server

MCP server · by cameronrye

AI & ML PythonDocker v0.10.2

Browse Gopher and Gemini resources safely: SSRF protection, TLS/TOFU, structured JSON output.

View source ↗ More servers

Install

Run one of the commands below, then add the client config underneath.

Pythonuvx gopher-mcp
Dockerdocker run -i --rm ghcr.io/cameronrye/gopher-mcp:0.10.2

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "gopher-mcp": {
      "command": "uvx",
      "args": [
        "gopher-mcp"
      ]
    }
  }
}

About this server

Gopher & Gemini MCP Server is listed in the AI & ML category of the MCPNav directory. It is distributed as Python, Docker and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the Gopher & Gemini MCP Server MCP server?

Gopher & Gemini MCP Server is an MCP server by cameronrye. Browse Gopher and Gemini resources safely: SSRF protection, TLS/TOFU, structured JSON output.

How do I install Gopher & Gemini MCP Server?

Install it with: uvx gopher-mcp. Then add the JSON config to your client's MCP settings and restart the client.

Is Gopher & Gemini MCP Server free to use?

The MCP server itself is free to install. The source is public on https://github.com/cameronrye/gopher-mcp. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support Gopher & Gemini MCP Server?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.