A MCP server designed to scout beginner-friendly OSS issues with high precision using GitHub GraphQL. It helps AI agents identify accessible contributions by filtering for low-friction, starter-friendly tasks and tracking relevant MCP data. The repository contains a MCP server with clear integration guidance and CLI usage.

🛠️ Key Features

• Scans GitHub GraphQL for beginner-friendly OSS issues
• High-precision filtering aligned with MCP goals
• Ready-to-run via npx for quick prototyping
• Includes MCP configuration examples for agents

🚀 Use Cases

• Onboarding new contributors to OSS projects
• Auto-discovery of starter issues for MCP-based agents
• Quick integration path for Model Context Protocol workflows

⚡ Developer Benefits

• Clear Quick Start and Direct Execution instructions
• JSON MCP configuration snippet for agent integration
• Documentation references available in repository docs

⚠️ Limitations

• Source data excerpt indicates CLI-based execution and token usage; real-world limits depend on GitHub API rate limits and token scopes
• Focused on beginner-friendly issues; broader issue types may require additional filtering adjustments