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Vinkius

Data Lineage Tracker Connector for AI agents.

4 live capabilities

Track and audit data provenance in LLM pipelines

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Why people use Data Lineage Tracker

Solve LLM data traceability issues with Data Lineage Tracker

With this MCP, you stop guessing. Every time your agent modifies data, the change is recorded in a structured graph. You get a clear, mathematical record of the entire journey, making it easy to see exactly where a piece of information originated and how it changed along the way.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a verifiable, hash-backed map of every data change in your LLM workflows.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Auditing automated content generation

    An engineer needs to prove that a generated summary was derived from a specific, approved document rather than hallucinated data.

  2. Real-world use case 02

    Debugging broken LLM pipelines

    A developer uses the history of a data item to find exactly which transformation step introduced an error in the final output.

  3. Real-world use case 03

    Meeting strict data compliance standards

    A compliance officer verifies that sensitive data underwent the mandatory anonymization steps before being processed.

Complete set · 4capabilities

The complete Data Lineage Tracker capability set.

These are the exact actions your AI can choose when you ask it to work with Data Lineage Tracker.

Capability set01 / 01

01—04

4 capabilities in this set.

Part of 4 available through Data Lineage Tracker.

  1. 01 Capability

    Find downstream impact

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

  2. 02 Capability

    Register transformation

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

  3. 03 Capability

    Trace item lineage

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

  4. 04 Capability

    Verify item integrity

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

Set up in minutes

One URL. Then ask Data Lineage Tracker to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Data Lineage Tracker from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_2JD3BLLTsmdBLJ9xBNkQXDG7ISJM9DAczMPHl05p/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Data Lineage Tracker, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Data Lineage Tracker for the conversation.

Where the request belongs

Work Data Lineage Tracker can move forward.

Built around the request

This is for engineers and compliance officers who can't afford 'black box' data processing in their AI pipelines.

01

MLOps Engineer

Monitoring the integrity of data as it flows through complex, multi-stage LLM pipelines.

02

Compliance Officer

Verifying that data processing meets regulatory requirements and audit standards.

03

Data Architect

Designing traceable workflows where the provenance of every output must be known.

Build the capability set

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Bring your own AI

Change the model, client or framework. Keep Data Lineage Tracker connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
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  • Windsurf
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Before you connect

Questions about Data Lineage Tracker.

The practical details behind the request, access and result.

How does Data Lineage Tracker help with LLM auditing?

It creates a permanent, hash-based record of every change made to your data, allowing you to prove exactly how an output was generated.

Can I use Data Lineage Tracker to debug my AI workflows?

Yes. You can use it to trace the history of any data item to find exactly which step in your pipeline caused an error or unexpected change.

Is Data Lineage Tracker compatible with my existing AI client?

Yes, as long as your client is MCP-compatible, like Claude, Cursor, or Windsurf, you can connect it and start tracking data immediately.

How does this MCP ensure data hasn't been tamexcepted?

It uses deterministic hashing for every transformation, meaning any change to the data would result in a different hash, making the history verifiable.

Can I verify if my data processing meets specific rules?

Yes, you can check your data against required transformation steps to ensure your pipeline is following your defined compliance rules.

How do I record a new data transformation?

You can use the trace_transformation capability to record a new step in the data's journey, providing the input ID, transformation type, parameters, and the resulting output data.

How can I verify if a piece of data is an ancestor of another?

Use the verify_provenance capability to confirm if a specific source item is part of the lineage for a target item.

Can I check if my data pipeline meets compliance requirements?

Yes, the check_compliance_audit capability allows you to validate that a data item's lineage includes all required transformation steps.

How can I verify if a data item has been altered?

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

How do I see the history of a specific piece of data?

Use the trace_item_lineage capability with the specific itemId. This will return a chronological list of all transformations that led to that item.

What happens if a model produces a hallucination?

You can use find_downstream_impact with the sourceId of the hallucinated item. This identifies all descendant data items that were derived from that specific error.

One connection away

Give your agent a direct line to Data Lineage Tracker.

Connect Data Lineage Tracker once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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