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    Artie MCP brings data pipeline tools to Claude Code, Cursor and Codex

    Artie says an AI agent can use its tools to set up a production change data capture (CDC) pipeline with a single prompt, such as connecting a staging Postgres database to Snowflake.

    Paul BuchheitPB
    ArtieAR
    2 Sources, ,

    TLDR

    Artie says its MCP tools are available in Claude Code, Cursor and Codex, allowing AI agents to configure and manage data pipelines. Its example prompt: “Create a pipeline from the staging Postgres database to Snowflake.” The company pitches this as an alternative to spending months assembling and maintaining the pipeline, including replication, backfills, destination writes, schema-change handling, monitoring and recovery.

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    2 Sources, first seen 20d ago

    Combined views

    9.2K

    2 Sources, first seen 20d ago

    27 likes
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    20d ago
    first seen 20d ago
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    10 comments
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    2 Sources

    Artie@artie_labsStanding up a production CDC pipeline used to mean designing source access, replication, backfills, destination writes, schema-change handling, monitoring, and recovery. Now, it can done with a single prompt: “Create a pipeline from the staging Postgres database to Snowflake.” With Artie MCP available in Claude Code, Cursor, and Codex, an AI agent can use Artie’s tools to configure and manage that workflow. So engineers can start with what they need, instead of spending months assembling and maintaining the pipeline themselves.20d
    Paul Buchheit@paultooRT @artie_labs: Standing up a production CDC pipeline used to mean designing source access, replication, backfills, destination writes, sch…20d

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    2 Sources

    Artie@artie_labsStanding up a production CDC pipeline used to mean designing source access, replication, backfills, destination writes, schema-change handling, monitoring, and recovery. Now, it can done with a single prompt: “Create a pipeline from the staging Postgres database to Snowflake.” With Artie MCP available in Claude Code, Cursor, and Codex, an AI agent can use Artie’s tools to configure and manage that workflow. So engineers can start with what they need, instead of spending months assembling and maintaining the pipeline themselves.20d
    Paul Buchheit@paultooRT @artie_labs: Standing up a production CDC pipeline used to mean designing source access, replication, backfills, destination writes, sch…20d