awslabs/mcp
Jun 2025 – Jun 2025
1 Month active
Languages Used
Python
Technical Skills
API IntegrationAWS SDK (Boto3)Amazon Q BusinessAuthenticationAuthorizationIAM
Takeshi Kobayashi
PROFILE
Takeshi Kobayashi
In June 2025, Takashi Koba developed Model Context Protocol (MCP) integration for the awslabs/mcp repository, enabling seamless partner access to Amazon Q Business search. He built both server-side and client-side components in Python, implementing authentication and authorization using OIDC and IAM, and integrated content retrieval through the SearchRelevantContent API. His work included designing the end-to-end MCP workflow, allowing ISVs to connect and retrieve relevant content efficiently. Takashi also produced comprehensive documentation and onboarding materials, ensuring that integration partners could adopt the new features smoothly. The project demonstrated depth in API integration, server development, and secure authentication protocols.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
3,451
Activity Months1
Your Network
1494 people
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for awslabs/mcp: Delivered Model Context Protocol (MCP) integration for the Amazon Q index, including MCP server, authentication, and content retrieval via the SearchRelevantContent API, as well as client-side integration logic and end-to-end workflow. Produced comprehensive documentation to enable ISVs to integrate with Amazon Q Business search. Focused on delivering business value by enabling seamless partner integration and strengthening search capabilities.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for awslabs/mcp: Delivered Model Context Protocol (MCP) integration for the Amazon Q index, including MCP server, authentication, and content retrieval via the SearchRelevantContent API, as well as client-side integration logic and end-to-end workflow. Produced comprehensive documentation to enable ISVs to integrate with Amazon Q Business search. Focused on delivering business value by enabling seamless partner integration and strengthening search capabilities.
June 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationAWS SDK (Boto3)Amazon Q BusinessAuthenticationAuthorizationIAMModel Context Protocol (MCP)OIDCServer Development
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