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AzDeltaQQ

MCP Advanced Reasoning Server

by AzDeltaQQ

reason_r1

Solve complex problems and tasks using R1 Transformer reasoning capabilities to analyze and process queries for enhanced decision-making.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe problem or task to reason about using R1 Transformer

Implementation Reference

  • Registers the "reason_r1" MCP tool on the server, including input schema and complete handler implementation.
    server.tool(
      "reason_r1",
      {
        query: z.string().describe("The problem or task to reason about using R1 Transformer")
      },
      async ({ query }) => {
        try {
          // Generate R1 reasoning response
          const reasoning = `R1 Reasoning Analysis:\n\n` +
                            `For the problem: "${query}", my analysis is:\n\n` +
                            `1. Initial problem understanding: [Simulated R1 analysis]\n` +
                            `2. Key aspects to consider: [Simulated R1 analysis]\n` +
                            `3. Potential solutions: [Simulated R1 analysis]\n` +
                            `4. Recommended approach: [Simulated R1 analysis]\n` +
                            `5. Implementation considerations: [Simulated R1 analysis]\n\n` +
                            `[This would be actual R1 Transformer-based reasoning content]`;
          
          return {
            content: [
              {
                type: "text",
                text: JSON.stringify({
                  strategy: "r1_transformer",
                  originalPrompt: query,
                  reasoning: reasoning,
                  complete: true
                }, null, 2)
              }
            ]
          };
        } catch (error) {
          throw new ReasoningError(`R1 reasoning command failed: ${error instanceof Error ? error.message : String(error)}`);
        }
      }
    );
  • The handler function for "reason_r1" that generates a simulated structured R1 Transformer reasoning response based on the input query.
    async ({ query }) => {
      try {
        // Generate R1 reasoning response
        const reasoning = `R1 Reasoning Analysis:\n\n` +
                          `For the problem: "${query}", my analysis is:\n\n` +
                          `1. Initial problem understanding: [Simulated R1 analysis]\n` +
                          `2. Key aspects to consider: [Simulated R1 analysis]\n` +
                          `3. Potential solutions: [Simulated R1 analysis]\n` +
                          `4. Recommended approach: [Simulated R1 analysis]\n` +
                          `5. Implementation considerations: [Simulated R1 analysis]\n\n` +
                          `[This would be actual R1 Transformer-based reasoning content]`;
        
        return {
          content: [
            {
              type: "text",
              text: JSON.stringify({
                strategy: "r1_transformer",
                originalPrompt: query,
                reasoning: reasoning,
                complete: true
              }, null, 2)
            }
          ]
        };
      } catch (error) {
        throw new ReasoningError(`R1 reasoning command failed: ${error instanceof Error ? error.message : String(error)}`);
      }
    }
  • Zod input schema for the "reason_r1" tool, defining a single 'query' string parameter.
    {
      query: z.string().describe("The problem or task to reason about using R1 Transformer")
  • src/index.ts:23-23 (registration)
    Top-level registration call to registerCommandWrappers, which includes the "reason_r1" tool.
    registerCommandWrappers(server);

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