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Trace data lineage, verify compliance boundaries, and manage audit findings with Neo4j.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Lucid Lineage GraphRAG MCP" yet — see the docs or source repo.
Use Lucid Lineage GraphRAG MCP to trace the lineage path of a dataset from its source system to downstream consumer nodes, and list the key nodes and relationships involved.
A lineage path or multiple paths showing the systems, data nodes, and relationship details involved.
Use Lucid Lineage GraphRAG MCP to check whether a specified data flow crosses expected compliance boundaries, and identify the related nodes and potential risk points.
A compliance boundary check result indicating whether boundary crossings exist and which graph nodes are involved.
Use Lucid Lineage GraphRAG MCP to summarize audit findings in the simulated infrastructure sandbox and organize them by related systems or data lineage paths.
A list of audit findings grouped by system or lineage path for easier investigation and follow-up.
Developers or data analysts can use it when they need to understand where data comes from and where it flows, using Neo4j graph tools to inspect lineage relationships.
DevOps or governance-related users can use it to review whether data flows cross compliance boundaries and quickly locate relevant nodes and boundary crossings.
Teams can use it in a simulated infrastructure sandbox to organize and track audit findings, helping scope issues through graph relationships.
It exposes six Neo4j-based graph tools for tracing data lineage, checking compliance boundaries, and managing audit findings. The description also says it is used in a simulated infrastructure sandbox.
Based on the name and description, this tool directly exposes Neo4j graph tools, so it is related to the Neo4j graph database. More specific setup and connection requirements are not provided here; see the source repository.
Its focus is not general search, but graph-based handling of data lineage, compliance boundaries, and audit findings. In other words, it is more oriented toward graph querying and governance analysis.
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