gemini-search-mcp


Namegemini-search-mcp JSON
Version 0.3.1 PyPI version JSON
download
home_pageNone
SummaryMCP server that exposes Gemini web search and document question answering tools.
upload_time2025-10-12 06:50:38
maintainerNone
docs_urlNone
authorGemini Search Team
requires_python>=3.9
licenseMIT
keywords mcp gemini search google ai model-context-protocol
VCS
bugtrack_url
requirements mcp google-genai opendataloader-pdf pydantic markdown pillow tomli tomli-w
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Gemini Search MCP

[![PyPI version](https://badge.fury.io/py/gemini-search-mcp.svg)](https://badge.fury.io/py/gemini-search-mcp)
[![npm version](https://badge.fury.io/js/gemini-search-mcp.svg)](https://badge.fury.io/js/gemini-search-mcp)
[![CI Tests](https://github.com/MIMICLab/GeminiSearchMCP/actions/workflows/ci.yml/badge.svg)](https://github.com/MIMICLab/GeminiSearchMCP/actions/workflows/ci.yml)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

Gemini Search MCP packages a [Model Context Protocol](https://www.modelcontextprotocol.io/) server that exposes five tools:

- **web_search** – Uses Gemini with Google Search grounding to answer general questions.
- **document_question_answering** – Converts local documents to captioned markdown and asks Gemini to answer questions about their contents.
- **get_document_content** – Converts a document to markdown and returns the full content for reading.
- **get_document_chunk** – Retrieves specific chunks of large documents for easier processing.
- **get_next_chunk** – Automatically continues reading from where you left off (stateful).

## Installation

### Python (pip)

```bash
pip install gemini-search-mcp
```

### Node.js (npm)

```bash
npm install -g gemini-search-mcp
```

## Usage

Set your Google API key (must have Gemini access):

```bash
export GOOGLE_API_KEY="your-key"
```

Run the MCP server (defaults to stdio transport):

```bash
gemini-search-mcp run
# or simply
# gemini-search-mcp
```

Configure Codex automatically (writes to `~/.codex/config.toml` by default):

```bash
gemini-search-mcp configure --api-key "YOUR_KEY"
```

Configure Copilot CLI (writes to `~/.copilot/config.json`):

```bash
gemini-search-mcp configure --cli-type copilot --api-key "YOUR_KEY"
```

Configure both Codex and Copilot CLI at once:

```bash
gemini-search-mcp configure --cli-type both --api-key "YOUR_KEY"
```

For npm/npx installation with custom command:

```bash
gemini-search-mcp configure --command npx --command-args -y gemini-search-mcp --api-key "YOUR_KEY"
```

Clear cached conversion artifacts:

```bash
gemini-search-mcp clear-cache
# 선택 옵션: --cache-dir /custom/path --remove-root
```

## Development

Install in editable mode with testing dependencies:

```bash
pip install -e .
```

Ensure LibreOffice is installed and on `PATH` if you plan to convert non-PDF documents.

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## Publishing

For maintainers: See [PUBLISHING.md](PUBLISHING.md) for instructions on how to publish new versions to PyPI and npm.

## Changelog

See [CHANGELOG.md](CHANGELOG.md) for a list of changes in each version.

## License

MIT – all rights reserved.

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "gemini-search-mcp",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.9",
    "maintainer_email": null,
    "keywords": "mcp, gemini, search, google, ai, model-context-protocol",
    "author": "Gemini Search Team",
    "author_email": null,
    "download_url": "https://files.pythonhosted.org/packages/75/4a/f5a4143cf2551cd6574b5bdd040a68a5a40a9ab4b22d2b8d5a1090f3ecd9/gemini_search_mcp-0.3.1.tar.gz",
    "platform": null,
    "description": "# Gemini Search MCP\n\n[![PyPI version](https://badge.fury.io/py/gemini-search-mcp.svg)](https://badge.fury.io/py/gemini-search-mcp)\n[![npm version](https://badge.fury.io/js/gemini-search-mcp.svg)](https://badge.fury.io/js/gemini-search-mcp)\n[![CI Tests](https://github.com/MIMICLab/GeminiSearchMCP/actions/workflows/ci.yml/badge.svg)](https://github.com/MIMICLab/GeminiSearchMCP/actions/workflows/ci.yml)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\nGemini Search MCP packages a [Model Context Protocol](https://www.modelcontextprotocol.io/) server that exposes five tools:\n\n- **web_search** \u2013 Uses Gemini with Google Search grounding to answer general questions.\n- **document_question_answering** \u2013 Converts local documents to captioned markdown and asks Gemini to answer questions about their contents.\n- **get_document_content** \u2013 Converts a document to markdown and returns the full content for reading.\n- **get_document_chunk** \u2013 Retrieves specific chunks of large documents for easier processing.\n- **get_next_chunk** \u2013 Automatically continues reading from where you left off (stateful).\n\n## Installation\n\n### Python (pip)\n\n```bash\npip install gemini-search-mcp\n```\n\n### Node.js (npm)\n\n```bash\nnpm install -g gemini-search-mcp\n```\n\n## Usage\n\nSet your Google API key (must have Gemini access):\n\n```bash\nexport GOOGLE_API_KEY=\"your-key\"\n```\n\nRun the MCP server (defaults to stdio transport):\n\n```bash\ngemini-search-mcp run\n# or simply\n# gemini-search-mcp\n```\n\nConfigure Codex automatically (writes to `~/.codex/config.toml` by default):\n\n```bash\ngemini-search-mcp configure --api-key \"YOUR_KEY\"\n```\n\nConfigure Copilot CLI (writes to `~/.copilot/config.json`):\n\n```bash\ngemini-search-mcp configure --cli-type copilot --api-key \"YOUR_KEY\"\n```\n\nConfigure both Codex and Copilot CLI at once:\n\n```bash\ngemini-search-mcp configure --cli-type both --api-key \"YOUR_KEY\"\n```\n\nFor npm/npx installation with custom command:\n\n```bash\ngemini-search-mcp configure --command npx --command-args -y gemini-search-mcp --api-key \"YOUR_KEY\"\n```\n\nClear cached conversion artifacts:\n\n```bash\ngemini-search-mcp clear-cache\n# \uc120\ud0dd \uc635\uc158: --cache-dir /custom/path --remove-root\n```\n\n## Development\n\nInstall in editable mode with testing dependencies:\n\n```bash\npip install -e .\n```\n\nEnsure LibreOffice is installed and on `PATH` if you plan to convert non-PDF documents.\n\n## Contributing\n\nContributions are welcome! Please feel free to submit a Pull Request.\n\n## Publishing\n\nFor maintainers: See [PUBLISHING.md](PUBLISHING.md) for instructions on how to publish new versions to PyPI and npm.\n\n## Changelog\n\nSee [CHANGELOG.md](CHANGELOG.md) for a list of changes in each version.\n\n## License\n\nMIT \u2013 all rights reserved.\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "MCP server that exposes Gemini web search and document question answering tools.",
    "version": "0.3.1",
    "project_urls": {
        "Homepage": "https://github.com/MIMICLab/GeminiSearchMCP",
        "Issues": "https://github.com/MIMICLab/GeminiSearchMCP/issues",
        "Repository": "https://github.com/MIMICLab/GeminiSearchMCP"
    },
    "split_keywords": [
        "mcp",
        " gemini",
        " search",
        " google",
        " ai",
        " model-context-protocol"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "7f704b7987f465f00d940020b4fadb6878af35ad19c5fdaf29c3b355834fab54",
                "md5": "148edbc414955b027d41b879c8e9dd71",
                "sha256": "86003ee6a516a0e83bc0460e2b6444d561c59f8cd04e2c5969e2051cdc43be01"
            },
            "downloads": -1,
            "filename": "gemini_search_mcp-0.3.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "148edbc414955b027d41b879c8e9dd71",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.9",
            "size": 19612,
            "upload_time": "2025-10-12T06:50:37",
            "upload_time_iso_8601": "2025-10-12T06:50:37.505073Z",
            "url": "https://files.pythonhosted.org/packages/7f/70/4b7987f465f00d940020b4fadb6878af35ad19c5fdaf29c3b355834fab54/gemini_search_mcp-0.3.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "754af5a4143cf2551cd6574b5bdd040a68a5a40a9ab4b22d2b8d5a1090f3ecd9",
                "md5": "269a29110da8fc3cc17f4f99de3d8269",
                "sha256": "b30450c5272aec8e726fbd4292e689491fea87303c1bc86d62c6f48246054a87"
            },
            "downloads": -1,
            "filename": "gemini_search_mcp-0.3.1.tar.gz",
            "has_sig": false,
            "md5_digest": "269a29110da8fc3cc17f4f99de3d8269",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.9",
            "size": 18103,
            "upload_time": "2025-10-12T06:50:38",
            "upload_time_iso_8601": "2025-10-12T06:50:38.733871Z",
            "url": "https://files.pythonhosted.org/packages/75/4a/f5a4143cf2551cd6574b5bdd040a68a5a40a9ab4b22d2b8d5a1090f3ecd9/gemini_search_mcp-0.3.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-10-12 06:50:38",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "MIMICLab",
    "github_project": "GeminiSearchMCP",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [
        {
            "name": "mcp",
            "specs": [
                [
                    ">=",
                    "0.4.0"
                ]
            ]
        },
        {
            "name": "google-genai",
            "specs": [
                [
                    ">=",
                    "0.3.0"
                ]
            ]
        },
        {
            "name": "opendataloader-pdf",
            "specs": [
                [
                    ">=",
                    "0.5.0"
                ]
            ]
        },
        {
            "name": "pydantic",
            "specs": [
                [
                    ">=",
                    "2.6.0"
                ]
            ]
        },
        {
            "name": "markdown",
            "specs": [
                [
                    ">=",
                    "3.5.0"
                ]
            ]
        },
        {
            "name": "pillow",
            "specs": [
                [
                    ">=",
                    "10.0.0"
                ]
            ]
        },
        {
            "name": "tomli",
            "specs": [
                [
                    ">=",
                    "2.0.1"
                ]
            ]
        },
        {
            "name": "tomli-w",
            "specs": [
                [
                    ">=",
                    "1.0.0"
                ]
            ]
        }
    ],
    "lcname": "gemini-search-mcp"
}
        
Elapsed time: 2.49021s