Documentation Search MCP Server

Instructions

Get a structured learning path for a library based on experience level.

Args:
    library: The library to create a learning path for
    experience_level: Your current level ("beginner", "intermediate", "advanced")

Returns:
    Structured learning path with progressive topics and resources

Implementation Reference

• src/documentation_search_enhanced/main.py:1038-1100 (handler)

  The core handler function for the 'get_learning_path' tool, decorated with @mcp.tool(). It generates a structured learning path based on the library and experience level using predefined topic lists for each level. Returns a dictionary with the learning path details.

  @mcp.tool()
  async def get_learning_path(library: str, experience_level: str = "beginner"):
      """
      Get a structured learning path for a library based on experience level.
  
      Args:
          library: The library to create a learning path for
          experience_level: Your current level ("beginner", "intermediate", "advanced")
  
      Returns:
          Structured learning path with progressive topics and resources
      """
      # Dynamic learning path generation based on difficulty
      level_topics = {
          "beginner": [
              "Getting Started",
              "Basic Concepts",
              "First Examples",
              "Common Patterns",
          ],
          "intermediate": [
              "Advanced Features",
              "Best Practices",
              "Integration",
              "Testing",
          ],
          "advanced": [
              "Performance Optimization",
              "Advanced Architecture",
              "Production Deployment",
              "Monitoring",
          ],
      }
  
      if experience_level not in level_topics:
          return {"error": f"Experience level {experience_level} not supported"}
  
      learning_steps = []
      for i, topic in enumerate(level_topics[experience_level]):
          learning_steps.append(
              {
                  "step": i + 1,
                  "topic": f"{library.title()} - {topic}",
                  "content_type": "tutorial",
                  "search_query": f"{library} {topic.lower()}",
                  "target_library": library,
                  "estimated_time": "2-4 hours",
              }
          )
  
      return {
          "library": library,
          "experience_level": experience_level,
          "total_topics": len(learning_steps),
          "estimated_total_time": f"{len(learning_steps) * 2}-{len(learning_steps) * 4} hours",
          "learning_path": learning_steps,
          "next_level": {
              "beginner": "intermediate",
              "intermediate": "advanced",
              "advanced": "Consider specializing in specific areas or exploring related technologies",
          }.get(experience_level, ""),
      }