SarvaData MCP
Production-ready MCP server for data operations. Ingest, clean, and report datasets with pandas-based pipelines.
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Features
Everything you need for production data operations, exposed as MCP tools.
Pandas-based Data Ingestion
Load and process CSV, JSON, Parquet, and Excel files with robust pandas pipelines.
Schema Validation
Validate dataset schemas automatically to ensure data quality and consistency.
Format Conversion
Convert between data formats seamlessly — CSV, JSON, Parquet, and more.
Snowflake Integration
Direct integration with Snowflake for cloud data warehouse operations.
MCP Protocol Support
Full Model Context Protocol support for AI-native data tool interoperability.
Production-Ready Pipelines
Battle-tested data pipelines with error handling, logging, and monitoring.
Tech Stack
PythonMIT LicenseMCPPandas
Get Started
Interested in SarvaData MCP? Reach out or star the repo on GitHub.
