What dependencies are required?
Python 3.10+, Elasticsearch 8.0+, and a GPU is recommended for ColPali (though it also works on CPU).
@camillebrl
基本情報
mcp server for Colpali (text-rich images) retrieval
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Colpali MCP Server - Python is an MCP server for semantic image retrieval using ColPali and Elasticsearch. It indexes images or PDF pages and enables natural language search queries against the indexed content.
Install by cloning the repository and running make install. Configure the server in your MCP client's mcp.json with the path to start_server.sh and environment variables for Elasticsearch (ES_HOST, ES_USER, ES_PASSWORD). The server exposes four tools: search_images, index_image, get_index_stats, and clear_index.
Python 3.10+, Elasticsearch 8.0+, and a GPU is recommended for ColPali (though it also works on CPU).
Embeddings and metadata are stored in Elasticsearch, accessed via the configured `ES_HOST`, `ES_USER`, and `ES_PASSWORD`.
Use the `index_image` tool to index images one by one (batch size of 1). PDFs can be indexed page by page by calling the tool for each page.
No, `clear_index` is irreversible and permanently removes all indexed data.
Authentication is via the `ES_USER` and `ES_PASSWORD` environment variables passed to the server at startup.

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