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Boost AI agent performance with task segmentation, hierarchical retrieval, and hybrid search.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Task-Guide-MCP" yet — see the docs or source repo.
Use Task-Guide-MCP to break down 'organize competitor research, extract conclusions, and produce product recommendations' into task areas, build a hierarchical retrieval path, and suggest the best information sources for each step.
A structured task segmentation, hierarchical retrieval plan, and search strategy recommendations for execution.
Use Task-Guide-MCP to design a hybrid search workflow for an enterprise knowledge base QA agent, combining keyword and semantic retrieval while organizing results by topic hierarchy.
A hybrid retrieval design, result organization method, and ideas to improve QA accuracy.
With Task-Guide-MCP, analyze a coding assistant workflow, organize requirement understanding, code retrieval, implementation, and validation into layers, and explain how to reduce irrelevant context.
A task hierarchy map, retrieval strategy, and context optimization suggestions for engineering workflows.
Let AI list and run Taskfile.yml tasks for automated dev workflows.
Run dependent or parallel agent tasks and return structured results in one call.
Combine structured reasoning and execution so agents can think, act, and trace decisions.
Intelligent RAG tool that chooses between private knowledge and web search.
Automate task breakdown, dependency tracking, and smart project recommendations.
Turn unstructured documents into a searchable knowledge base for AI agents.