awslabs/mcp
Apr 2025 – Apr 2025
1 Month active
Languages Used
Python
Technical Skills
API DevelopmentAWS BedrockBackend DevelopmentFastAPILangchainMCP
aditya
PROFILE
Aditya
Developed a new Knowledge Base Client for the awslabs/mcp repository, integrating Amazon Bedrock Knowledge Bases using the Model Context Protocol. The solution featured a Streamlit-based chat interface connected to a FastAPI backend, enabling end-to-end querying of knowledge bases through MCP-based endpoints. Project scaffolding and dependency management were included to streamline onboarding and facilitate internal demos. The work emphasized Python for both backend and frontend components, with careful attention to API design and sample architecture. By delivering a fully functional demo client, this contribution established a scalable foundation for future chat-based retrieval and knowledge-base integrations within the project ecosystem.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,460
Activity Months1
Your Network
148 peopleWork History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 — Delivered a New Knowledge Base Client with Bedrock MCP integration and a Streamlit chat UI for awslabs/mcp. The end-to-end sample includes a Streamlit frontend, a FastAPI backend, and MCP-based endpoints to query knowledge bases, along with project scaffolding and dependencies for quick onboarding and demos. Major bugs were not reported; minor integration tweaks were completed to stabilize the demo flow. Overall, this work provides an immediately usable KB client, accelerating internal demos and adoption, and establishes a scalable pattern for future knowledge-base integrations and chat-based retrieval. Technologies/skills demonstrated include MCP Model Context Protocol, Bedrock Knowledge Bases, Streamlit, FastAPI, Python packaging, API design, and end-to-end sample architecture.
1 Commits • 1 Features
Apr 1, 2025April 2025 — Delivered a New Knowledge Base Client with Bedrock MCP integration and a Streamlit chat UI for awslabs/mcp. The end-to-end sample includes a Streamlit frontend, a FastAPI backend, and MCP-based endpoints to query knowledge bases, along with project scaffolding and dependencies for quick onboarding and demos. Major bugs were not reported; minor integration tweaks were completed to stabilize the demo flow. Overall, this work provides an immediately usable KB client, accelerating internal demos and adoption, and establishes a scalable pattern for future knowledge-base integrations and chat-based retrieval. Technologies/skills demonstrated include MCP Model Context Protocol, Bedrock Knowledge Bases, Streamlit, FastAPI, Python packaging, API design, and end-to-end sample architecture.
April 2025
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DevelopmentAWS BedrockBackend DevelopmentFastAPILangchainMCPPythonStreamlit
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline