Data Lineage Tracker

Data Lineage Tracker MCP Connector for Claude

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Track the provenance and lifecycle of data objects through LLM pipelines.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

Data Lineage Tracker provides a verifiable record of how data flows through LLM orchestration pipelines. It maintains a Directed Acyclic Graph (DAG) of transformations, allowing you to audit the history of any data item. Use trace_item_lineage to see the full ancestral path of a specific item, verify_item_integrity to ensure no tampering has occurred, find_downstream_impact to see how a specific error propagates, and register_transformation to log new steps in the lifecycle.

lineageprovenanceauditdata-integrityllm-pipeline

4 tools expose this connector's capabilities to your AI agent.

find_downstream_impact

Identifies all data items that were derived from a specific source item

trace_item_lineage

Provides the complete ancestral history of a specific data item to verify its origin

verify_item_integrity

Checks if a data item's current state matches its recorded deterministic hash

register_transformation

Ensure the parentId exists. Records a new step in the data lifecycle, linking a new data item to its parent

See how to talk to your AI agent using Data Lineage Tracker.

Show me the full history for data item 'abc-123'.

The lineage for 'abc-123' consists of three steps: 1. Raw Input (Root), 2. Summarization (via LLM), 3. Entity Extraction (via Parser).

Is the content of item 'xyz-789' still valid?

Yes, the content matches the recorded deterministic hash. The integrity is verified.

Which items were affected by the transformation of item 'parent-001'?

There are 2 descendant items: 'child-001' (depth 1) and 'grandchild-001' (depth 2).

You can use the `verify_item_integrity` tool. By providing the item ID and its current content, the system checks if the content matches the original deterministic hash recorded during transformation.

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