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I have been building a personal multi-agent data lineage discovery project using CBM-MCP graph search to generate focused context for each agent.
CBM-MCP, combined with additional preprocessing and correlation logic, has helped reduce the amount of source code passed to the agents and lower token usage.
The results have been promising so far with public sample repositories, including cross-repository data flows. I am continuing to validate and improve the solution.
I will replicate the same for GUI based ETL tool such as informatica , optim, validate and provide feedback.
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I have been building a personal multi-agent data lineage discovery project using CBM-MCP graph search to generate focused context for each agent.
CBM-MCP, combined with additional preprocessing and correlation logic, has helped reduce the amount of source code passed to the agents and lower token usage.
The results have been promising so far with public sample repositories, including cross-repository data flows. I am continuing to validate and improve the solution.
I will replicate the same for GUI based ETL tool such as informatica , optim, validate and provide feedback.
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