[Guide] Maximizing Coding Efficiency with MCP Sequential Thinking & OpenRouter AI

@atalas

I have rewritten and optimized multiple things within the repository, once I have it fully implemented will totally push the repository.

To answer your question:

The parameters you’re referencing (thought, thoughtNumber, etc.) are part of the core sequential logic in the MCP server’s operational runtime . The enableSummarization and other configuration flags you’re missing are likely defined in a separate configuration layer (e.g., mcp.config.js, environment variables, or the settings section of your mcp.json).

Here’s why they aren’t visible in the source code you inspected:

  • Dynamic Configuration : Parameters like enableSummarization are often injected at runtime via environment variables or config files, not hardcoded.

  • Modular Architecture : The MCP server separates logic (what you found in the code) from configuration (where these flags reside).

Knowing this: The parameters you listed (thought, thoughtNumber, etc.) are correct for tracking sequential state—your observation aligns with the system’s design. The missing flags simply exist in a different layer of the architecture.

The parameters you see (thought, thoughtNumber, etc.) are part of the runtime logic for managing sequential workflows including other parameters like enableSummarization or thoughtCategorization to be used as they are not hardcoded in this file because they belong to the MCP server’s configuration layer which is user made and not server made.


The MCP works on two different ways:

Logic (this code):

  • Handles thought validation (validateThoughtData), history tracking, and output formatting.
  • Defines how sequential steps are processed (e.g., branching, revisions).

Parameters like enableSummarization or contextWindow are not hardcoded here because they control server behavior , not individual workflows: since we are using an user custom made configuration parameter not necesarilly has to follow along with the MCP as far as my knowledge.

Adding parameters into our customized layer, which is our MCP.json they must be defined in the correct layer meaning that those parameters belong to configuration, not runtime logic.

Configuration Parameters

  • Parameters like enableSummarization or contextWindow are not hardcoded here because they control server behavior , not individual workflows. This is the main reason we are using MCP.json file

parallelTasks

image

progressTracking

dynamicAdaptation

maxdepth

enable summarization

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