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AzDeltaQQ
by AzDeltaQQ

reason_mcts

Solve complex problems by applying Monte Carlo Tree Search reasoning to analyze tasks and generate optimal solutions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe problem or task to reason about using MCTS

Implementation Reference

  • The handler function for 'reason_mcts' tool that simulates automatic 3-step MCTS reasoning process and returns structured JSON output.
    async ({ query }) => { try { // Initialize first thought const totalThoughts = 3; let currentThought = `MCTS Reasoning (Step 1/${totalThoughts}): Initial analysis of the problem "${query}":\n\n` + `First, let me understand what we're trying to solve here. ${query}\n\n` + `[This would be the initial MCTS-based reasoning]`; let thoughtNumber = 1; let complete = false; let allThoughts = [currentThought]; // Automatically iterate through all thoughts while (!complete && thoughtNumber < totalThoughts) { // Simulate next thought generation thoughtNumber++; const nextThought = `MCTS Reasoning (Step ${thoughtNumber}/${totalThoughts}): ` + `Based on previous analysis "${currentThought.slice(0, 50)}...", ` + `further exploration with 50 simulations suggests...\n\n` + `[This would be the next step of MCTS-based reasoning for: ${query}]`; allThoughts.push(nextThought); currentThought = nextThought; // Check if we've reached the final thought if (thoughtNumber >= totalThoughts) { complete = true; } } // Final result with all thoughts return { content: [ { type: "text", text: JSON.stringify({ strategy: "mcts", originalPrompt: query, allThoughts: allThoughts, thoughtNumber: thoughtNumber, totalThoughts: totalThoughts, complete: true }, null, 2) } ] }; } catch (error) { throw new ReasoningError(`MCTS reasoning command failed: ${error instanceof Error ? error.message : String(error)}`); } }
  • Zod schema defining the input 'query' parameter for the reason_mcts tool.
    { query: z.string().describe("The problem or task to reason about using MCTS") },
  • Registers the 'reason_mcts' tool on the MCP server within the registerCommandWrappers function.
    server.tool( "reason_mcts", { query: z.string().describe("The problem or task to reason about using MCTS") }, async ({ query }) => { try { // Initialize first thought const totalThoughts = 3; let currentThought = `MCTS Reasoning (Step 1/${totalThoughts}): Initial analysis of the problem "${query}":\n\n` + `First, let me understand what we're trying to solve here. ${query}\n\n` + `[This would be the initial MCTS-based reasoning]`; let thoughtNumber = 1; let complete = false; let allThoughts = [currentThought]; // Automatically iterate through all thoughts while (!complete && thoughtNumber < totalThoughts) { // Simulate next thought generation thoughtNumber++; const nextThought = `MCTS Reasoning (Step ${thoughtNumber}/${totalThoughts}): ` + `Based on previous analysis "${currentThought.slice(0, 50)}...", ` + `further exploration with 50 simulations suggests...\n\n` + `[This would be the next step of MCTS-based reasoning for: ${query}]`; allThoughts.push(nextThought); currentThought = nextThought; // Check if we've reached the final thought if (thoughtNumber >= totalThoughts) { complete = true; } } // Final result with all thoughts return { content: [ { type: "text", text: JSON.stringify({ strategy: "mcts", originalPrompt: query, allThoughts: allThoughts, thoughtNumber: thoughtNumber, totalThoughts: totalThoughts, complete: true }, null, 2) } ] }; } catch (error) { throw new ReasoningError(`MCTS reasoning command failed: ${error instanceof Error ? error.message : String(error)}`); } } );
  • src/index.ts:22-23 (registration)
    Top-level registration where registerCommandWrappers is called to add the reason_mcts tool to the server.
    registerReasoningTools(server); registerCommandWrappers(server);

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