Datris
Verified IntegrationClient Configuration
— Connect Datris to Claude Desktop or Cursor in seconds{
"mcpServers": {
"datris": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-datris"
],
"env": {}
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).System Overview
Orchestrates comprehensive data pipelines for ingestion, validation, transformation, storage, and retrieval, designed for both AI agents and human developers.
7/22/2026
Open Source
stdio / SSE RPC
Frequently Asked Questions
Architecture and operational details for Datris
Yes, Datris features a full RAG pipeline built in. It supports document extraction, various chunking strategies, embedding providers, and integration with 5 major vector databases (Qdrant, Weaviate, Milvus, Chroma, pgvector) for building complete RAG workflows.
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