awslabs/mcp
Apr 2025 – Apr 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
API IntegrationAWS LambdaAWS SAMBoto3MCP ProtocolPython
Danilo Poccia
PROFILE
Danilo Poccia
During a two-month period, Daniele Poccia developed two backend features across the awslabs/mcp and strands-agents/sdk-python repositories. For awslabs/mcp, he built an AWS Lambda MCP Server in Python, enabling generative AI tools to securely invoke Lambda functions through API integration and function filtering, thus providing a controlled bridge to AWS resources. In strands-agents/sdk-python, he extended the SDK’s citation handling by introducing new classes and API endpoints for referencing web sources and search results, improving data provenance and citation richness. His work demonstrated depth in API development, backend architecture, and AWS tooling, with a focus on secure, maintainable integrations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,759
Activity Months2
Your Network
184 peopleWork History
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered Advanced Citation Handling for web sources and search results in strands-agents/sdk-python, expanding the citation API surface and data models to reference external content and search results. The work improves traceability, enables richer citations, and lays groundwork for broader source integrations.
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered Advanced Citation Handling for web sources and search results in strands-agents/sdk-python, expanding the citation API surface and data models to reference external content and search results. The work improves traceability, enables richer citations, and lays groundwork for broader source integrations.
December 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for awslabs/mcp: Delivered an AWS Lambda MCP Server enabling Generative AI tool invocation via Lambda functions, with function tagging/name filtering and demonstration samples. Provides a secure bridge to AWS resources, eliminating direct exposure and accelerating AI-tool integrations. Notable commit: 45d367ca940ae79694fcac42ec84e05ee1f34384 (lambda-mcp-server: Add a new AWS Lambda MCP Server).
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for awslabs/mcp: Delivered an AWS Lambda MCP Server enabling Generative AI tool invocation via Lambda functions, with function tagging/name filtering and demonstration samples. Provides a secure bridge to AWS resources, eliminating direct exposure and accelerating AI-tool integrations. Notable commit: 45d367ca940ae79694fcac42ec84e05ee1f34384 (lambda-mcp-server: Add a new AWS Lambda MCP Server).
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
API IntegrationAPI developmentAWS LambdaAWS SAMBoto3MCP ProtocolPythonServer Developmentbackend developmentunit testing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
strands-agents/sdk-python
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
API developmentbackend developmentunit testing