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gemini-researcher

io.github.capyBearista/gemini-researcher ยท version 1.0.2

Community listing. Not installed or verified by cosmic-mcp. Read the source and its permissions before you run it.

Stateless MCP server that proxies research queries to Gemini CLI, reducing agent context/model usage

https://github.com/capyBearista/gemini-researcher

Quick facts

  • Listing: Community
  • Published Jan 26, 08:42 UTC
  • Transport: stdio
  • Package: npm gemini-researcher 1.0.2
  • Listed by cosmic-mcp: Nov 9, 04:25 UTC

AI and LLMs Science and research

Setup snippets

Generated from the registry entry. cosmic-mcp has not run or reviewed this server; values in angle brackets are yours to fill in.

Run it locally (npm)

npx -y '[email protected]'

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "gemini-researcher": {
      "args": [
        "-y",
        "[email protected]"
      ],
      "command": "npx",
      "env": {
        "CACHE_TTL_MS": "<your cache ttl ms>",
        "DEBUG": "<your debug>",
        "GEMINI_API_KEY": "<your gemini api key>",
        "GOOGLE_APPLICATION_CREDENTIALS": "<your google application credentials>",
        "GOOGLE_CLOUD_PROJECT": "<your google cloud project>",
        "PROJECT_ROOT": "<your project root>",
        "RESPONSE_CHUNK_SIZE_KB": "<your response chunk size kb>",
        "VERTEX_AI_PROJECT": "<your vertex ai project>"
      }
    }
  }
}

Claude Code

claude mcp add 'gemini-researcher' -- npx -y '[email protected]'

Cursor (.cursor/mcp.json)

{
  "mcpServers": {
    "gemini-researcher": {
      "args": [
        "-y",
        "[email protected]"
      ],
      "command": "npx",
      "env": {
        "CACHE_TTL_MS": "<your cache ttl ms>",
        "DEBUG": "<your debug>",
        "GEMINI_API_KEY": "<your gemini api key>",
        "GOOGLE_APPLICATION_CREDENTIALS": "<your google application credentials>",
        "GOOGLE_CLOUD_PROJECT": "<your google cloud project>",
        "PROJECT_ROOT": "<your project root>",
        "RESPONSE_CHUNK_SIZE_KB": "<your response chunk size kb>",
        "VERTEX_AI_PROJECT": "<your vertex ai project>"
      }
    }
  }
}

VS Code (.vscode/mcp.json)

{
  "servers": {
    "gemini-researcher": {
      "args": [
        "-y",
        "[email protected]"
      ],
      "command": "npx",
      "env": {
        "CACHE_TTL_MS": "<your cache ttl ms>",
        "DEBUG": "<your debug>",
        "GEMINI_API_KEY": "<your gemini api key>",
        "GOOGLE_APPLICATION_CREDENTIALS": "<your google application credentials>",
        "GOOGLE_CLOUD_PROJECT": "<your google cloud project>",
        "PROJECT_ROOT": "<your project root>",
        "RESPONSE_CHUNK_SIZE_KB": "<your response chunk size kb>",
        "VERTEX_AI_PROJECT": "<your vertex ai project>"
      },
      "type": "stdio"
    }
  }
}

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