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Erben Mo

PROFILE

Erben Mo

Developed a DynamoDB MCP Server for the awslabs/mcp repository, establishing a scalable backend service that enables control and data plane operations such as table management, item manipulation, query, scan, and backup or restore. The implementation leveraged Python, FastAPI, and Docker, with a focus on code organization, test coverage using Pytest and Moto, and robust CI/CD practices. Additionally, contributed to aws/amazon-q-developer-cli by refining glob pattern matching logic to handle trailing slashes in file paths, improving reliability for end users. Work emphasized architectural clarity, maintainable packaging with Hatchling, and comprehensive testing to support safe, efficient deployments and development cycles.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

3Total
Bugs
1
Commits
3
Features
1
Lines of code
4,120
Activity Months2

Work History

September 2025

1 Commits

Sep 1, 2025

September 2025: Delivered a targeted bug fix in aws/amazon-q-developer-cli to improve glob-based file matching when paths include trailing slashes. The change trims trailing slashes prior to glob construction and expands test coverage to ensure correct directory matching across various path formats, reducing false positives and improving reliability for end users.

May 2025

2 Commits • 1 Features

May 1, 2025

May 2025 monthly summary for awslabs/mcp: Key features delivered include the DynamoDB MCP Server, introducing a new control/data plane server with table management, item operations, query/scan, and backup/restore capabilities, plus project scaffolding, a Dockerfile, and tests. Major bugs fixed: none identified as blockers; a minor typo fix in README and a module rename (dynamodb_server -> server) were completed as part of the feature work. Overall impact: establishes a scalable DynamoDB interaction layer within MCP, enabling faster development cycles, safer deployments, and clearer architecture, with tests and Docker deployment supporting reliability. Technologies/skills demonstrated: architectural refactor, backend service design, Docker tooling, test coverage, and version management.

Activity

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Quality Metrics

Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance100.0%
AI Usage33.4%

Skills & Technologies

Programming Languages

MarkdownPythonRust

Technical Skills

AWS SDK (Boto3)CI/CD (Pre-commit hooks)Code OrganizationDockerDynamoDBFastAPIFile System OperationsGlob Pattern MatchingMCP FrameworkPython Packaging (Hatchling, Pyproject.toml)RefactoringTestingTesting (Pytest, Moto)Version Management

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

awslabs/mcp

May 2025 May 2025
1 Month active

Languages Used

MarkdownPython

Technical Skills

AWS SDK (Boto3)CI/CD (Pre-commit hooks)Code OrganizationDockerDynamoDBFastAPI

aws/amazon-q-developer-cli

Sep 2025 Sep 2025
1 Month active

Languages Used

Rust

Technical Skills

File System OperationsGlob Pattern MatchingTesting