About dbt-docs-mcp
dbt-docs-mcp is an MCP server for querying dbt project metadata from dbt Docs artifacts such as manifest.json and catalog.json. It is aimed at data teams who need to understand model dependencies and column lineage in a dbt project.
Key features
- 01Search nodes by name, column name or compiled SQL
- 02Retrieve detailed attributes for a node ID
- 03Query direct upstream and downstream dependencies
- 04Trace column-level ancestors and descendants
Use cases
- 01Locating where a model or column is defined in a dbt project
- 02Assessing downstream impact of changing a model
- 03Tracing the data sources behind a reporting column
MCP support
This project is an MCP server that exposes dbt graph structure, node details and lineage queries as tools to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEdbt-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.pyand 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 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" } } } }
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