mongodb-js/mongodb-mcp-server
Mar 2026 – Mar 2026
1 Month active
Languages Used
TypeScript
Technical Skills
AI integrationNode.jscommand line interfacefull stack development
Ruby Dong
PROFILE
Ruby Dong
Developed and integrated AI tooling for the mongodb-js/mongodb-mcp-server repository, focusing on automating the setup and configuration process for the MongoDB MCP server. Leveraging TypeScript and Node.js, the work introduced AI-assisted workflows that streamline onboarding and configuration, reducing manual steps for new users. The integration included support for command line interfaces and compatibility with tools such as Cursor and VS Code, laying the groundwork for future AI-driven deployment processes. This feature improved the consistency and reliability of the MCP server setup, enhancing the user experience and positioning the project for scalable, automated onboarding and configuration in full stack environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,147
Activity Months1
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Focused on enabling automated setup and configuration for the MongoDB MCP server through AI tooling. Delivered an AI tooling integration that streamlines onboarding and configuration, improving time-to-value for new users. The work includes integration with Cursor, VS Code, and other AI-assisted workflows, and is tracked under commit b055997fd755f73db755d8b8e139ee3f361ac488.
1 Commits • 1 Features
Mar 1, 2026March 2026: Focused on enabling automated setup and configuration for the MongoDB MCP server through AI tooling. Delivered an AI tooling integration that streamlines onboarding and configuration, improving time-to-value for new users. The work includes integration with Cursor, VS Code, and other AI-assisted workflows, and is tracked under commit b055997fd755f73db755d8b8e139ee3f361ac488.
March 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
TypeScript
Technical Skills
AI integrationNode.jscommand line interfacefull stack development
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