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
Worked on the awslabs/mcp repository to deliver Model Context Protocol (MCP) integration for the Amazon Q index, enabling independent software vendors to connect with Amazon Q Business search. Developed both server-side MCP components and client-side integration logic, focusing on secure authentication and content retrieval through the SearchRelevantContent API. Utilized Python and AWS SDK (Boto3) to implement the end-to-end workflow, incorporating authentication, authorization, and OIDC protocols. Produced comprehensive documentation and onboarding materials to streamline ISV adoption. The work emphasized robust server development practices and addressed the need for seamless partner integration, strengthening the search capabilities of Amazon Q Business.
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
1751 peopleWork 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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