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dbt-docs-mcp
MCP (model context protocol) server for interacting with dbt Docs
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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
).
- Find nodes (models, sources, tests, etc.) by name (
-
Inspect Nodes:
- Retrieve detailed attributes for any given node unique ID (
get_dbt_node_attributes
).
- Retrieve detailed attributes for any given node unique ID (
-
Explore Lineage:
- Find direct upstream dependencies (predecessors) of a node (
get_dbt_predecessors
). - Find direct downstream dependents (successors) of a node (
get_dbt_successors
).
- Find direct upstream dependencies (predecessors) of a node (
-
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
).
- Trace all upstream sources for a specific column in a model (
-
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
- Prerequisites: Ensure you have Python installed and uv
-
Clone the repo:
git clone <repository-url> cd dbt-docs-mcp
-
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)
-
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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Reviews

user_8CmYxPo9
As a devoted user of the dbt-docs-mcp application created by mattijsdp, I can confidently say that it has significantly streamlined my documentation process for dbt projects. The intuitive interface and comprehensive features provided make it an indispensable tool for both beginners and advanced users. The seamless integration and easy-to-follow welcome guide ensure a smooth start. Highly recommended for anyone looking to enhance their dbt documentation workflow. Check it out via the product link!