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CoderDayton

verifiable-thinking-mcp

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{}
logging
{}
resources
{}
completions
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
scratchpad

Structured reasoning w/verification, trap detection, self-challenge. []=optional

OPS (required: operation=): step thought= [question=1st] [confidence=] [verify=] [domain=math|logic|code|general] [compress=true]→add step. Auto-verifies when chain >3 steps. complete [final_answer=] [summary=]→finalize+spot-check revise target_step= thought= [reason=]→fix step branch thought= [from_step=] [hypothesis=] [success_criteria=]→fork path navigate view=history|branches|step|path [step_id=] [limit=10]→inspect augment text= [store_as_step=false]→compute+inject math results hint [expression=] [reveal_count=] [cumulative=true] [reset=false]→progressive hints (auto-continues) mistakes text=→check algebraic errors spot_check question= answer=→check for common reasoning traps challenge [target_claim=] [challenge_type=all]→adversarial self-check override failed_step= [reason=]→force-commit failed step

DEFAULTS: session_id=auto confidence_threshold=0.8 token_budget=3000 augment_compute=true compress=true

STATUS→ACTION: continue→add steps | threshold_reached→complete or verify | review→use reconsideration.suggested_revise | verification_failed→revise|branch|override | budget_exhausted→complete or new session

FLOW: 1.step(question="...",thought="...")→primes trap detection for the question 2.step(thought="...")×N→auto-verify, auto-compress, confidence-drift detection, consistency checks 3.[optional]challenge()→adversarial self-check of claims 4.complete(final_answer="...")→auto spot-check against common traps 5.if status=review→revise per reconsideration.suggested_revise

list_sessions

List active sessions with counts/branches

get_session

Get session: full/summary/compressed format

clear_session

Clear session(s) to free memory

compress

CPC-style sentence-level compression. TF-IDF + NCD scoring, coreference/causal chains, filler removal. 10× faster than token-level LLM compression. Keeps query-relevant sentences.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
Sessions ListList all active reasoning sessions

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