Best for
- Complex tasks that require structured reasoning
- Scenarios needing step validation and revisions
- Exploring multiple solution paths
C
CRASH
Community
An MCP server for structured, iterative reasoning with step tracking, branching, and revisions.
GitHub source repository ↗
60FMRS · C
CRASH provides a valuable tool for structured reasoning, especially for complex problems. It is more concise than sequential thinking but may not be needed for simple tasks.
CRASH (Cascaded Reasoning with Adaptive Step Handling) is an MCP server for structured, iterative reasoning. It helps AI assistants break down complex problems into trackable steps with confidence tracking, revision support, and branching for exploring alternatives. Inspired by the MCP Sequential Thinking Server, it is more token-efficient and streamlined.
Tools
handle_step
Processes a single reasoning step with parameters like step number, purpose, thought, outcome, next action, and rationale, plus optional confidence, revision, branching, and dependencies.
Setup
Install via npm: npm install crash-mcp. Or run directly with npx: npx crash-mcp. For most MCP clients, add the JSON config: {"mcpServers":{"crash":{"command":"npx","args":["-y","crash-mcp"]}}}. See README for client-specific setup.
claude_desktop_config.json
{
"mcpServers": {
"crash": {
"command": "npx",
"args": [
"-y",
"crash-mcp"
]
}
}
}
Fit and risk
Not for
- Simple single-step tasks
- Pure information retrieval
- Deterministic procedures with no uncertainty
Required permissions
- Network access to fetch package via npx
- File system access for config files (client-dependent)
Risks and side effects
- Package may be unvetted (community project)
- Misconfiguration can cause startup failures
- Environment variables not set correctly may lead to unexpected behavior
Troubleshooting
- Module not found errors: try using bunx instead of npx
- ESM resolution issues: try --node-options=--experimental-vm-modules flag
- Check environment variables like CRASH_STRICT_MODE and CRASH_OUTPUT_FORMAT are set correctly
Use cases
Complex multi-step problem solving
Code analysis and optimization
System design with multiple considerations
Debugging requiring systematic investigation
Exploring multiple solution paths
Tasks where you need to track confidence
Supported clients
Claude DesktopFull support
Claude CodeFull support
CursorFull support
VS CodeFull support
WindsurfFull support
JetBrainsFull support