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Let your agentrun the pipelines

Create pipelines, add tables, run backfills, and manage private connections from your AI client.

Connect Artie MCPRead the docs

Connect your client

Choose your client, copy the setup, and sign in to connect to Artie MCP.

Or connect inClaude ChatChatGPT
claude mcp add-json artie '{"type":"http","url":"https://mcp.artie.com/mcp"}'

On first use, sign in with OAuth and approve the connection. No API key or bearer token required.

What your agent can do

  • Manage pipelines

    Create, start, pause, update, or remove pipelines. Inspect schema changes and run backfills.

  • Maintain source infrastructure

    Inspect saved connector metadata and deploy or remove configured source readers.

  • Configure private connectivity

    Manage existing SSH tunnels and PrivateLink connections.

  • Find data before acting

    Search the data catalog for tables, fields, and connector context.

  • Manage security controls

    Manage existing column-hashing salts, encryption keys, and ingestion API keys.

Try these prompts

Create a pipeline

Create a PostgreSQL-to-Snowflake pipeline from the existing orders_db source.

Add and backfill tables

Add the subscriptions table to the production pipeline, then backfill that table.

Control pipeline state

Pause the staging pipeline while we upgrade the database.

Review schema changes

Detect schema changes on the production PostgreSQL pipeline.

Configure an SSH tunnel

Create an SSH tunnel configuration to our VPC database and return its public key.

Search the data catalog

Search the data catalog for tables or fields related to customer email.