dbt-docs-mcp

by mattijsdp

Integrations

  • Provides access to dbt project metadata through manifest.json and catalog.json artifacts, enabling search of models, sources, and tests, inspection of node attributes, exploration of model dependencies, and tracing of column-level lineage within dbt projects.

  • Used for progress visualization when processing potentially large dbt manifests, particularly during column-level lineage creation which can take hours for larger projects.

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 like 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" } } } }
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security - not tested
A
license - permissive license
-
quality - not tested

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

dbt-docs-mcp

  1. Key Functionality
    1. Getting Started

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