crash-mcp

Overview

CRASH (Cascaded Reasoning with Adaptive Step Handling) is an MCP server designed to help AI assistants break down complex problems into manageable steps. It provides features like confidence tracking, revision support, and branching for exploring alternative solutions. The server aims to be more token-efficient than sequential thinking approaches by eliminating code from thoughts and streamlining prompting.

Try asking AI

After installing, here are 7 things you can ask your AI assistant:

• create_reasoning_step

  Create a structured reasoning step with purpose, context, thought, outcome, and next action

  Try:Help me analyze this database optimization step by stepTry:I need to break down this complex debugging processTry:Let me explore multiple solutions for this system design
• revise_step

  Correct a previous reasoning step with revision notes

  Try:I need to revise my previous analysis because I missed something importantTry:Let me correct step 3 where I made an incorrect assumptionTry:Fix my reasoning about the query optimization approach
• create_branch

  Create a new branch to explore alternative solutions

  Try:Let me try a different approach for solving this problemTry:Create a branch to test both indexing and query rewriting solutionsTry:Explore this alternative design approach with a new branch
• validate_step

  Validate step dependencies and previous steps

  Try:Check if all required steps have been completed before moving forwardTry:Validate that my assumptions are correct based on previous stepsTry:Confirm that step dependencies are satisfied
• finalize_reasoning

  Mark the current step as final to complete the reasoning process

  Try:I've completed my analysis of this problemTry:Finalize this reasoning session with my findingsTry:Mark this as the final step of my investigation
• create_session

  Create a new reasoning session to group related steps

  Try:Start a new session for this complex debugging taskTry:Create a session to track all optimization experimentsTry:Group all analysis steps for this investigation together

Note: Tool names inferred from usage examples and parameters described in the documentation, but no explicit 'Tools' section exists in the README.

Comparable tools

Installation

npm install crash-mcp

npx crash-mcp

{
  "mcpServers": {
    "crash": {
      "command": "npx",
      "args": ["-y", "crash-mcp"]
    }
  }
}

FAQ

How is CRASH different from sequential thinking?

CRASH is more token-efficient as it doesn't include code in thoughts and has streamlined prompting. It's designed to be simpler to use with just 'use crash' instead of 'use sequential_thinking'.

What kind of problems is CRASH best suited for?

CRASH excels at complex multi-step problem solving, code analysis and optimization, system design with multiple considerations, debugging requiring systematic investigation, and tasks where you need to track confidence levels.

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