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MCP server for AI-driven data pipeline operations — ingest, validate, transform, analyze, and query data. Tools covering ETL, AI data quality, vector search, PostgreSQL, MongoDB, Snowflake, Databricks, Kafka, S3/MinIO, HashiCorp Vault, Qdrant, Weaviate, Milvus, Chroma, pgvector.
pip install datris-mcp-server
PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.
datris-mcp-server publishes 1 wheel and 1 source archive for version 1.12.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 72 releases with files. The first dated release is ; 72 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .