Chain-of-Thought Skeleton Verifier

Chain-of-Thought Skeleton Verifier MCP Connector for Claude

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Validates the structural integrity of ReAct and Chain-of-Thought agent outputs.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides essential tools for auditing the reasoning processes of AI agents. It ensures that agent outputs strictly adhere to expected patterns like ReAct or Chain-of-Thought. Using analyze_structure, you can detect unclosed reasoning loops or missing tags. The get_ratio_metrics tool helps identify if an agent is over-thinking or acting impulsively, while validate_sequence_flow ensures the logical progression of Thought, Action, and Observation is maintained.

reasoningreactcotvalidationagentic-workflows

3 tools expose this connector's capabilities to your AI agent.

validate_sequence_flow

Checks if the order of identified blocks adheres to the logical ReAct loop

analyze_structure

Performs a deep structural scan of a raw agent output string to validate its skeleton

get_ratio_metrics

Calculates higher-level behavioral metrics derived from the structural analysis

See how to talk to your AI agent using Chain-of-Thought Skeleton Verifier.

Check if this agent output is valid: <thought>I need to search.</thought><action>search(query='test')</action>

The structure is valid and follows the expected Thought-Action sequence.

Is the agent over-thinking? Reasoning steps: 10, Actions: 1

The agent is exhibiting High Thinking behavior due to the low action-to-thought ratio.

Validate the sequence: Thought, Observation, Action

The sequence is invalid because an Observation appeared before an Action.

The `analyze_structure` tool performs a deep scan of raw agent text to verify if it follows tag-based or keyword-based patterns, checking for complete reasoning blocks.

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