moeru-ai/airi
Mar 2026 – Mar 2026
1 Month active
Languages Used
JavaScriptShellTypeScriptVueYAML
Technical Skills
Configuration ManagementElectronIPC CommunicationNode.jsService ManagementTool Integration
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PROFILE
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During March 2026, BeanDz developed foundational Model Context Protocol (MCP) integration for the moeru-ai/airi repository, focusing on enabling dynamic tool-based workflows. They implemented a centralized MCP stdio manager and introduced a bridge-based communication layer, replacing direct Tauri plugin calls to streamline IPC communication. BeanDz also created a new MCP settings page for configuring server connections and updated the chat, main, and settings UI components to list and invoke MCP tools. This work, primarily using TypeScript, Vue.js, and Node.js, established a scalable architecture for future MCP expansions, demonstrating depth in configuration management and tool integration within Electron applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
878
Activity Months1
Your Network
1765 peopleSame Organization
@users.noreply.github.com1701
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered MCP integration across moeru-ai/airi with a centralized MCP stdio manager, a new MCP settings page for server configurations, and a bridge-based communication layer that replaces direct Tauri calls. Updated UI components in chat, main, and settings to list and invoke MCP tools. This work lays the foundation for dynamic, tool-based workflows and future MCP expansions.
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered MCP integration across moeru-ai/airi with a centralized MCP stdio manager, a new MCP settings page for server configurations, and a bridge-based communication layer that replaces direct Tauri calls. Updated UI components in chat, main, and settings to list and invoke MCP tools. This work lays the foundation for dynamic, tool-based workflows and future MCP expansions.
March 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptShellTypeScriptVueYAML
Technical Skills
Configuration ManagementElectronIPC CommunicationNode.jsService ManagementTool IntegrationTypeScriptViteVue.js
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