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jitsu

Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days

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nodepostgressnowflakeTypeScriptredshiftdata-connectorsmcp-serverdata-collectionbigquerygolangnode/pnpmclickhousedata-integration

Jitsu is an open-source alternative to Segment, described as a fully-scriptable data ingestion engine for real-time data pipelines. The repository is indexed as an MCP server and ships agents.md and claude.md files, with warehouse targets like ClickHouse, BigQuery, Redshift, Snowflake, and Postgres listed among its topics.

Reach for it when you want self-hosted, scriptable event data collection routed into a data warehouse instead of paying for Segment.

Use it to

  • Set up a real-time data ingestion pipeline
  • Collect event data into ClickHouse, BigQuery, Redshift, Snowflake, or Postgres
  • Self-host a Segment alternative
  • Expose data ingestion through its MCP server role

For Modern data teams building ingestion pipelines

Role
mcp-server
Language
TypeScript
Licence
MIT
Forks
400
Open issues
14
Last push
2026-09-17
Latest release
v1.4.0 · 2020-09-14
topicsdata-integrationdata-collectiondata-connectorswarehousesmcp-serveropen-source