Model Level Lineage Graph Construction And Traversal

via “model-level lineage graph construction and traversal”

** - MCP server for dbt-core (OSS) users as the official dbt MCP only supports dbt Cloud. Supports project metadata, model and column-level lineage and dbt documentation.

Unique: Constructs lineage graphs directly from manifest.json node relationships without requiring dbt execution, enabling instant dependency queries. Supports bidirectional traversal (upstream sources and downstream consumers) with explicit relationship typing (depends_on, ref, source).

vs others: Faster than dbt Cloud's lineage API for local projects because it operates on local artifacts, and provides more detailed relationship metadata than simple dependency lists.

via “data lineage traversal for agent reasoning”

** - Official MCP Server from [Atlan](https://atlan.com) which enables you to bring the power of metadata to your AI tools

Unique: Wraps Atlan's lineage graph engine as MCP tools, allowing agents to perform multi-hop traversals and impact analysis without writing SQL or custom graph queries. Leverages Atlan's pre-computed lineage indices for fast traversal rather than computing lineage on-the-fly.

vs others: More efficient than agents querying raw data catalogs because it exposes pre-computed lineage relationships as first-class tools, avoiding the need for agents to reconstruct lineage from metadata fields or execute complex graph algorithms.