awslabs/mcp
Apr 2025 – Apr 2025
1 Month active
Languages Used
Python
Technical Skills
API DevelopmentAWS BedrockBackend DevelopmentFastAPILangchainMCP
aditya
PROFILE
Aditya
Adi Addepalli developed a new Knowledge Base Client for the awslabs/mcp repository, integrating Amazon Bedrock Knowledge Bases using the Model Context Protocol. He designed an end-to-end sample architecture featuring a Streamlit chat interface as the frontend and a FastAPI backend, enabling users to query knowledge bases through MCP-based endpoints. Adi provided project scaffolding, dependency management, and clear API documentation to streamline onboarding and accelerate internal demos. His work demonstrated depth in Python, API development, and backend integration, establishing a scalable pattern for future chat-based retrieval systems and knowledge-base integrations while ensuring the solution was immediately usable for internal stakeholders.
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
140 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
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DevelopmentAWS BedrockBackend DevelopmentFastAPILangchainMCPPythonStreamlit
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