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Plith Rigor

ai.plith/rigor · v1.0.0

New (7 days)

Measured by MCP Station

Last check	Reachable
Checked at	—
Check success 7 / 30 days	—
First-try success 30 days	—
Median response	—
Lookups 30 days	—
Authentication	No auth
MCP version	2024-11-05
Rank score	—
Declared risk	Can write (some tools are not declared read-only)
Capabilities declared	prompts, resources, tools
Tool definitions	4 tools · with description 100% · input schema is an object 100% · read/destructive hints 100%

Structured multi-step workflows that produce production-quality deliverables. Plan any task free.

streamable-http · https://plith.ai/api/mcp/rigor

claude mcp add --transport http rigor https://plith.ai/api/mcp/rigor

{
  "mcpServers": {
    "rigor": {
      "url": "https://plith.ai/api/mcp/rigor"
    }
  }
}

rigor_plan
Before executing a complex task, get a structured workflow plan with per-step cost estimates. Classifies your task, selects the optimal framework sequence, and returns the full plan without executing anything. The response's allowed_modes tells you whether this plan is eligible for direct execution.
rigor_execute
Execute a structured workflow end-to-end. Call rigor_plan first (free) to preview the step sequence and cost estimate before committing credits. Classifies the task, selects the optimal tool sequence, and executes each step with the right LLM model. Returns a complete deliverable — solution designs,
rigor_status
Check the status of a running or completed Rigor workflow. Returns progress, step results, and the full deliverable when complete. Use after rigor_execute with polling delivery to retrieve results.
rigor_workflows
List and search Rigor workflows for your organization, with filtering and pagination. Returns status, progress, capacity usage, and available actions per workflow. Use to monitor workflow state, understand concurrent limit usage, identify stuck or completed workflows, and — via q — find prior work o

Repository · Website · JSON · Text for agents · Registry updated 2026-10-24