modelcontextprotocol/servers
Nov 2024 – Nov 2024
1 Month active
Languages Used
Python
Technical Skills
AI integrationAPI developmentAPI integrationMCP (Model Context Protocol)PythonSQLite
Garvan
PROFILE
Garvan
Developed a SQLite-backed Notes Server for the modelcontextprotocol/servers repository, enabling CRUD operations and basic business intelligence through SQL queries. Leveraged Python and asynchronous programming to deliver a robust backend architecture, supporting efficient note management and AI-assisted memo generation. Integrated Model Context Protocol (MCP) to facilitate interactive business insights, while removing external API dependencies for streamlined deployment. Enhanced project maintainability by introducing a .gitignore and updating documentation, including the README and contribution guidelines. Focused on clear, data-driven workflows and comprehensive documentation, the work supports faster prototyping and improved collaboration for downstream teams, reflecting a methodical approach to full stack development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
3
Lines of code
3,458
Activity Months1
Your Network
765 peopleShared Repositories
574
Work History
November 2024
6 Commits • 3 Features
Nov 1, 2024Month 2024-11 performance summary for modelcontextprotocol/servers: Delivered a SQLite-backed Notes Server with CRUD and basic BI capabilities, plus an AI-enabled demo path on the MCP server for memo generation. Cleaned up repository hygiene with a new .gitignore and comprehensive documentation updates. These efforts enable data-driven note management, faster prototyping of AI-assisted insights, and improved maintainability, benefiting downstream teams and stakeholders.
6 Commits • 3 Features
Nov 1, 2024Month 2024-11 performance summary for modelcontextprotocol/servers: Delivered a SQLite-backed Notes Server with CRUD and basic BI capabilities, plus an AI-enabled demo path on the MCP server for memo generation. Cleaned up repository hygiene with a new .gitignore and comprehensive documentation updates. These efforts enable data-driven note management, faster prototyping of AI-assisted insights, and improved maintainability, benefiting downstream teams and stakeholders.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture90.0%
Performance86.6%
AI Usage43.4%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI integrationAPI developmentAPI integrationMCP (Model Context Protocol)PythonSQLiteasynchronous programmingbackend developmentdatabase managementdocumentation writingfull stack developmentproject managementversion control
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