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Lets reasoning models delegate sub-tasks to extend analysis and execution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Thinking Agent MCP" yet — see the docs or source repo.
Break this system design problem into five sub-problems, use the helper agent to analyze risks, options, and trade-offs for each, then consolidate everything into a final English conclusion.
A structured analysis covering each sub-problem with risks, options, trade-offs, and a final recommendation.
For the topic of an enterprise knowledge-base QA system, delegate literature review, technical approach, evaluation metrics, and limitations to the helper agent, then produce a research plan outline.
A clear research plan outline integrating results from multiple delegated sub-tasks.
While handling this multi-step requirements analysis task, delegate goal extraction, requirement categorization, edge-case checks, and deliverables generation to the helper agent, then output the final requirements document.
A more complete requirements document with goals, categorized needs, edge cases, and deliverables.
Extend model reasoning by delegating subproblems to a configurable auxiliary agent.
Combine structured reasoning and execution so agents can think, act, and trace decisions.
Helps AI agents reason step by step, revise ideas, and explore branches.
Enable AI agents to chat with users on Telegram and collect replies.
Give AI agents MCP tools for task management and document retrieval.
Build effective AI agents with MCP and simple workflow patterns.