Analyzes DBT manifest files with automatic schema version detection, providing lineage tracking, upstream and downstream dependency analysis, model metadata retrieval, and compiled code access for DBT projects.
Stores and queries DBT manifest data efficiently using SQLite database storage, with tables for metadata, nodes, sources, macros, and relationship mappings.
DBT Manifest MCP Server
A FastMCP server for analyzing DBT manifests with automatic schema version detection and lineage tracking.
Author: David B Company: DABBLEFISH LLC License: MIT
Features
Automatic Schema Version Detection: Supports DBT manifest schema versions v0-v12
Version-Adaptive Parsing: Backward compatibility with legacy manifest formats
SQLite Database Storage: Efficient querying and data persistence
Lineage Analysis: Upstream and downstream dependency tracking
Model Information: Detailed model metadata and compiled code access
PEP-8 Compliant: Professional Python package structure
Related MCP server: Project Explorer MCP Server
Installation
From PyPI (when published)
From Source
Development Installation
Usage
Running the Server
Environment Variables
DBT_MANIFEST_PATH: Path to the DBT manifest.json file (required)DBT_DB_PATH: Path to SQLite database file (optional, defaults to ./dbt_manifest.db)
Example
Available Tools
1. refresh_manifest
Refresh DBT manifest data by parsing and storing in SQLite database.
Parameters:
manifest_path(optional): Path to the DBT manifest.json file
Returns: Success message with statistics
2. get_upstream_lineage
Get upstream lineage for a DBT model.
Parameters:
model_id: Unique ID of the DBT model (e.g., 'model.my_project.my_model')
Returns: Dictionary with model_id, upstream_models list, and count
3. get_downstream_lineage
Get downstream lineage for a DBT model.
Parameters:
model_id: Unique ID of the DBT model (e.g., 'model.my_project.my_model')
Returns: Dictionary with model_id, downstream_models list, and count
4. get_model_info
Get detailed information about a DBT model including parent/child counts and compiled code.
Parameters:
model_id: Unique ID of the DBT model (e.g., 'model.my_project.my_model')
Returns: Dictionary with detailed model information
5. get_schema_info
Get information about the loaded DBT manifest schema version, supported features, and database statistics.
Returns: Dictionary with version info, features, and statistics
Schema Version Support
The server automatically detects and adapts to different DBT manifest schema versions:
v0-v3: Legacy format with basic node structure
v4+: Modern format with parent_map and child_map
v12: Latest format with enhanced metadata
Version-Specific Features
Version | Parent Map | Child Map | Node Structure | Metadata Location |
v0-v3 | ❌ (built from dependencies) | ❌ (built from dependencies) | Legacy | Root |
v4-v11 | ✅ | ✅ | Modern | Metadata |
v12 | ✅ | ✅ | Modern | Metadata |
Database Schema
The server creates the following SQLite tables:
metadata: Schema version and manifest metadatanodes: DBT models, tests, and other nodessources: DBT source definitionsmacros: DBT macro definitionsparent_map: Parent-child relationshipschild_map: Child-parent relationships
Example Usage
Error Handling
The server includes comprehensive error handling for:
Missing or invalid manifest files
Unsupported schema versions
Database connection issues
Invalid model IDs
License
MIT License - see LICENSE file for details.