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sequential-thinking-mcp

mcp_server.py3.67 kB
import logging from typing import Any from fastmcp import FastMCP logger = logging.getLogger("SequentialThinking") mcp: FastMCP[Any] = FastMCP("Sequential Thinking") @mcp.tool() def think( thread_purpose: str, thought: str, thought_index: int, tool_recommendation: str | None = "None", left_to_be_done: str | None = "None", ) -> str: """Logs a single step in a thought process for agentic problem-solving. Supports thread following, step-tracking, self-correction, and tool recommendations. For each new user message, begin a new thought thread and log each thought after each completed step. # Key functionalities Agentic Workflow Orchestration: Guides through complex tasks by breaking them into precise, manageable, traceable steps. Automatic smart thinking process: Avoids over-questionning users about their intention and just figures it out how to proceed. Iterative Refinement: Assesses success of each step and self-corrects if necessary, adapting to new information or errors (failure, empty results, etc). Tool Recommendation: Suggests relevantly specific available tools (`tool_recommendation`) to execute planned actions or gather necessary information. Proactive Planning: Utilizes `left_to_be_done` for explicit future state management and task estimation. Args: thread_purpose: A concise, high-level objective or thematic identifier for the current thought thread. Essential for organizing complex problem-solving trajectories. thought: The detailed, atomic unit of reasoning or action taken by the AI agent at the current step. This forms the core of the agent's internal monologue. thought_index: A monotonically increasing integer representing the sequence of thoughts within a specific thread_purpose. Crucial for chronological tracking and revision targeting. tool_recommendation: A precise actionable suggestion for the next tool to be invoked, omitted if no tool is needed, directly following the current thought. left_to_be_done: A flexible forward-looking statement outlining the next steps or sub-goals to be completed within the current thread_purpose. Supports multi-step planning and progress tracking. Omitted if no further action is needed. Returns: A confirmation that the thought has been logged. # Example of thought process 1) user: "I keep hearing about central banks, but I don't understand what they are and how they work." 2) think(thread_purpose="Central banks explained", thought="Requires information about central banks and how they work. Consider using <named_tool> tool.", thought_index=1, tool_recommendation="<named_tool>", left_to_be_done="Summarize the findings and create an exhaustive graph representation") 3) call <named_tool> 4) think(thread_purpose="Central banks explained", thought="Summary of the findings is clear and exhaustive, I have enough information. Must create the graph with <named_tool>.", thought_index=2, tool_recommendation="<named_tool>", left_to_be_done="Send summary and graph to the user") 5) call <named_tool> 6) final: respond with summary and graph (no need to call think since left_to_be_done is a simple final step) """ log = f"Thread purpose: {thread_purpose}\nThought {thought_index} logged." if tool_recommendation and tool_recommendation.lower() != "none": log += f" Recommended tool: {tool_recommendation}." extra_log = f"{log}\nThought: {thought}" if left_to_be_done and left_to_be_done.lower() != "none": extra_log += f"\nNext: {left_to_be_done}" logger.info(extra_log) return log

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