dbt-labs/dbt-mcp
Mar 2025 – Mar 2025
1 Month active
Languages Used
GraphQLMarkdownPythonShell
Technical Skills
API IntegrationBackend DevelopmentCommand Line Interface (CLI)Environment ConfigurationGraphQLPython
Jason Ganz
PROFILE
Jason Ganz
In March 2025, Jason Ganz developed a minimal Metrics Control Plane (MCP) server for the dbt-labs/dbt-mcp repository, integrating with the dbt Semantic Layer via GraphQL. He focused on backend development using Python and Shell, enabling users to query metrics, dimensions, and time granularities through both basic and advanced examples. Jason implemented environment-variable-based configuration to support seamless multi-environment deployments across development, staging, and production. He also established test scaffolding and comprehensive documentation, improving onboarding and maintainability. His work demonstrated depth in API integration, environment configuration, and technical writing, delivering a robust foundation for further feature expansion and adoption.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
779
Activity Months1
Your Network
22 peopleWork History
March 2025
4 Commits • 1 Features
Mar 1, 2025March 2025: Delivered a minimal MCP server integrating with the dbt Semantic Layer via GraphQL, enabling querying metrics, dimensions, and time granularities with basic and advanced examples. Established environment-variable-based configuration to support multi-environment deployments (dev/stage/prod), and set up test scaffolding and documentation to accelerate adoption. Notable commits include initial MCP test setup, dotenv load fix, and documentation updates, improving reliability and traceability.
4 Commits • 1 Features
Mar 1, 2025March 2025: Delivered a minimal MCP server integrating with the dbt Semantic Layer via GraphQL, enabling querying metrics, dimensions, and time granularities with basic and advanced examples. Established environment-variable-based configuration to support multi-environment deployments (dev/stage/prod), and set up test scaffolding and documentation to accelerate adoption. Notable commits include initial MCP test setup, dotenv load fix, and documentation updates, improving reliability and traceability.
March 2025
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GraphQLMarkdownPythonShell
Technical Skills
API IntegrationBackend DevelopmentCommand Line Interface (CLI)Environment ConfigurationGraphQLPythonPython Developmentbackend developmentdbt Semantic Layerdocumentationenvironment configurationtechnical writing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline