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MCP server · Data

mattijsdp/dbt-docs-mcp

MCP (model context protocol) server for interacting with dbt Docs

Unclaimed MIT last commit a year ago data
54Fair

Scored yesterday · breakdown

About mattijsdp/dbt-docs-mcp

mattijsdp/dbt-docs-mcp is an MCP server published by mattijsdp in the Data category: mCP (model context protocol) server for interacting with dbt Docs.

The repository has 23 stars and 8 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/mattijsdp/dbt-docs-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository yesterday. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.0.1v0.0.1 · 8 Apr 2025Full Changelog: https://github.com/mattijsdp/dbt-docs-mcp/commits/v0.0.1

README

Verified on MseeP

Trust Score

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 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"
            }
            }
        }
    }
    

README fetched from the repository yesterday. The original is authoritative.

Questions

About mattijsdp/dbt-docs-mcp

How do I install mattijsdp/dbt-docs-mcp?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is mattijsdp/dbt-docs-mcp safe to use with an AI agent?

Its trust score is 54 out of 100 (fair). It passes 4 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is mattijsdp/dbt-docs-mcp still maintained?

The last commit was a year ago and 2 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.