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About dbt-docs-mcp

This MCP server connects your AI assistant to dbt project metadata and documentation files. It lets you search for data models by name or code, inspect detailed attributes, and trace exactly how information flows between tables and columns.

Tools (8)

search_dbt_node_names

Find nodes (models, sources, tests, etc.) by name.

search_dbt_column_names

Locate nodes based on column names.

search_dbt_sql_code

Search within the compiled SQL code of nodes.

get_dbt_node_attributes

Retrieve detailed attributes for any given node unique ID.

get_dbt_predecessors

Find direct upstream dependencies (predecessors) of a node.

get_dbt_successors

Find direct downstream dependents (successors) of a node.

get_column_ancestors

Trace all upstream sources for a specific column in a model.

get_column_descendants

Trace all downstream dependents of a specific column in a model.

README

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dbt-docs-mcp

Model Context Protocol (MCP) server for interacting with dbt project metadata, including dbt Docs artifacts (manifest.json, catalog.json). This server exposes dbt graph information and allows querying node details, model/column lineage, and related metadata.

Key Functionality

This server provides tools to:

  • Search dbt Nodes:
    • Find nodes (models, sources, tests, etc.) by name (search_dbt_node_names).
    • Locate nodes based on column names (search_dbt_column_names).
    • Search within the compiled SQL code of nodes (search_dbt_sql_code).
  • Inspect Nodes:
    • Retrieve detailed attributes for any given node unique ID (get_dbt_node_attributes).
  • Explore Lineage:
    • Find direct upstream dependencies (predecessors) of a node (get_dbt_predecessors).
    • Find direct downstream dependents (successors) of a node (get_dbt_successors).
  • Column-Level Lineage:
    • Trace all upstream sources for a specific column in a model (get_column_ancestors).
    • Trace all downstream dependents of a specific column in a model (get_column_descendants).
  • Suggested extensions:
    • Tool that allows executing SQL queries.
    • Tool that retrieves table/view/column metadata directly from the database.
    • Tool to search knowledge-base.

Getting Started

  1. Prerequisites: Ensure you have Python installed and uv
  2. Clone the repo:
    git clone <repository-url>
    cd dbt-docs-mcp
    
  3. Optional: parse dbt manifest for column-level lineage:
    • Setup the required Python environment, e.g.:
    uv sync
    
    • Use the provided script scripts/create_manifest_cl.py and simply provide the path to your dbt manifest, dbt catalog and the desired output paths for your schema and column lineage file:
    python scripts/create_manifest_cl.py --manifest-path PATH_TO_YOUR_MANIFEST_FILE --catalog-path PATH_TO_YOUR_CATALOG_FILE --schema-mapping-path DESIRED_OUTPUT_PATH_FOR_SCHEMA_MAPPING --manifest-cl-path DESIRED_OUTPUT_PATH_FOR_MANIFEST_CL
    
    • Depending on your dbt project size, creating column-lineage can take a while (hours)
  4. Run the Server:
    • If your desired MCP client (Claude desktop, Cursor, etc.) supports mcp.json it would look as below:
    {
        "mcpServers": {
            "DBT Docs MCP": {
            "command": "uv",
            "args": [
                "run",
                "--with",
                "networkx,mcp[cli],rapidfuzz,dbt-core,python-decouple,sqlglot,tqdm",
                "mcp",
                "run",
                "/Users/mattijs/repos/dbt-docs-mcp/src/mcp_server.py"
            ],
            "env": {
                "MANIFEST_PATH": "/Users/mattijs/repos/dbt-docs-mcp/inputs/manifest.json",
                "SCHEMA_MAPPING_PATH": "/Users/mattijs/repos/dbt-docs-mcp/outputs/schema_mapping.json",
                "MANIFEST_CL_PATH": "/Users/mattijs/repos/dbt-docs-mcp/outputs/manifest_column_lineage.json"
            }
            }
        }
    }