Dbt Docs MCP
dbt-core (OSS) project metadata, model and column-level lineage, and dbt documentation.
التثبيت
خطوات التثبيت موجودة في التوثيق أدناه. التوثيق
التوثيق
مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على 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).
- 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.:
bash uv sync - Use the provided script
scripts/create_manifest_cl.pyand 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)
- Setup the required Python environment, e.g.:
- 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" } } } }
- If your desired MCP client (Claude desktop, Cursor, etc.) supports mcp.json it would look as below:
الأسئلة الشائعة
ما هو Dbt Docs MCP؟
dbt-core (OSS) project metadata, model and column-level lineage, and dbt documentation.
كيف أثبّت Dbt Docs MCP؟
اتبع خطوات التثبيت في توثيقه المعروض في هذه الصفحة وفي مستودعه.
هل Dbt Docs MCP مفتوح المصدر؟
نعم. شيفرته متاحة على GitHub بترخيص MIT.
من يصون Dbt Docs MCP؟
ينشره mattijsdp. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.
من القوائم المجتمعية awesome-mcp-servers ومستودع المشروع على GitHub. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.