chore: import upstream snapshot with attribution

2026-07-13 12:39:17 +08:00
commit 4ed4e9ff99
1368 changed files with 334957 additions and 0 deletions
@@ -0,0 +1,42 @@
+import os
+
+from mcp.server.fastmcp import FastMCP
+
+STREAMABLE_HTTP_HOST = os.getenv("STREAMABLE_HTTP_HOST", "127.0.0.1")
+STREAMABLE_HTTP_PORT = int(os.getenv("STREAMABLE_HTTP_PORT", "18080"))
+
+# Create server
+mcp = FastMCP("Prompt Server", host=STREAMABLE_HTTP_HOST, port=STREAMABLE_HTTP_PORT)
+
+
+# Instruction-generating prompts (user-controlled)
+@mcp.prompt()
+def generate_code_review_instructions(
+    focus: str = "general code quality", language: str = "python"
+) -> str:
+    """Generate agent instructions for code review tasks"""
+    print(f"[debug-server] generate_code_review_instructions({focus}, {language})")
+
+    return f"""You are a senior {language} code review specialist. Your role is to provide comprehensive code analysis with focus on {focus}.
+
+INSTRUCTIONS:
+- Analyze code for quality, security, performance, and best practices
+- Provide specific, actionable feedback with examples
+- Identify potential bugs, vulnerabilities, and optimization opportunities
+- Suggest improvements with code examples when applicable
+- Be constructive and educational in your feedback
+- Focus particularly on {focus} aspects
+
+RESPONSE FORMAT:
+1. Overall Assessment
+2. Specific Issues Found
+3. Security Considerations
+4. Performance Notes
+5. Recommended Improvements
+6. Best Practices Suggestions
+
+Use the available tools to check current time if you need timestamps for your analysis."""
+
+
+if __name__ == "__main__":
+    mcp.run(transport="streamable-http")