Dbt Docs MCP

Community Productivity

dbt-core (OSS) project metadata, model and column-level lineage, and dbt documentation.

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

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.: bash 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: bash 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: json { "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" } } } }

Frequently asked questions

What is Dbt Docs MCP?

dbt-core (OSS) project metadata, model and column-level lineage, and dbt documentation.

How do I install Dbt Docs MCP?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is Dbt Docs MCP open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Dbt Docs MCP?

It is published by mattijsdp. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.