Think MCP is a structured reasoning server that enables LLMs to break down complex problems through sequential thinking, branching, and cross-session memory.
Core Capabilities:
Sequential Reasoning - Use think to add step-by-step thoughts with confidence scoring (1-10), sub-steps breakdown, and alternative approaches. Use think_batch to submit up to 30 thoughts in a single call for high-velocity reasoning with atomic validation.
Branching & Revision - Explore alternative solution paths from any thought using branchId or revise previous thoughts with isRevision: true to correct mistakes without losing context.
Deep Analysis Framework - Generate structured methodologies with think_logic through 4 phases: Chain Mapping → Crack Hunting → Standard Benchmark → Action Planning. Customize by depth (quick/standard/deep), focus (security, performance, reliability, UX, data-flow), and technology stack (NestJS, React, Redis, Next.js, etc.).
Cross-Session Memory - Search current session thoughts or retrieve insights from previous sessions (24-hour retention) using think_recall with fuzzy matching across thoughts, extensions, and alternatives.
Session Management - Finalize with think_done to validate logic gaps, unresolved blockers, and low-confidence thoughts, with optional export in Markdown or JSON format (including Mermaid diagrams). Use think_reset to clear context and start fresh.
Intelligent Assistance - Built-in Nudge System provides proactive warnings for low confidence, tunnel vision, missing breakdowns, and unresolved blockers, plus complexity-based tool recommendations and stagnation detection.
Performance Features - ~55% token reduction through imperative prompts, ASCII tree visualization, quick inline extensions (critique, elaborate, correct, innovate, polish), and progress tracking with next-action hints.
Supports exporting thought sessions in Markdown format for human-readable documentation of reasoning processes.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Think MCPhelp me debug this authentication error in our NestJS API"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Think MCP
Structured reasoning tools for MCP-compatible LLM clients
Reason step by step, branch when needed, block weak finals, and keep useful memory across sessions.
Install | Tools | think_cycle | Quality Gates | Changelog
Why this exists
Most LLM workflows fail in predictable ways:
They answer too early.
They stay linear when the task needs alternatives or critique.
They lose earlier insights between steps.
They finish with confidence that is not backed by verification.
Think MCP adds an external reasoning layer for those failures. It does not replace the model's intelligence. It constrains and structures the way that intelligence is used.
What is in 5.5.1
Fixed mojibake and broken runtime coaching text.
Refreshed the README and aligned it with the current toolset.
Kept the
think_cyclehard-gate workflow introduced in5.5.0.Preserved release validation, eval coverage, and hard quality policy checks.
Core model
Think MCP combines three layers:
Layer | Role | Outcome |
| Capture reasoning steps | Better decomposition, branching, revisions |
| Enforce adaptive depth and hard final gate | Blocks shallow or weak final answers |
Recall + coaching + validation | Preserve useful context and warn on weak patterns | Better consistency and fewer dead-end sessions |
Install
Run directly
npx -y @gofman3/think-mcpMCP config
{
"mcpServers": {
"think": {
"command": "npx",
"args": ["-y", "@gofman3/think-mcp"]
}
}
}Local development
npm install
npm run build
npm testToolset
Tool | Purpose | Best use |
| Add one structured reasoning step | Medium-complexity tasks that need guided progression |
| Submit multiple reasoning steps at once | Fast batch decomposition or prebuilt chains |
| Adaptive reasoning state machine with hard quality gate | High-risk or high-complexity tasks |
| Generate strict analysis methodology | Audits, architecture review, deep technical analysis |
| Search current session or stored insights | Reuse patterns, avoid repeating dead ends |
| Finalize a session with validation | Controlled session completion |
| Clear current session state | Hard context shift only |
think_cycle
think_cycle is the main depth-control tool in the current release.
It runs a session as a state machine:
start -> step -> status -> finalize
If the reasoning quality is weak, finalize does not silently pass. It blocks completion and returns concrete next prompts plus a required minimum of additional thoughts.
Key behavior
Adaptive required depth based on goal complexity and risk markers.
Hard gate for phase coverage:
decompose,alternative,critique,synthesis,verification.Quality score with penalties for repetition, weak verification, and unstable confidence.
Fallback interop with the regular
thinkbackend whenbackendMode=auto.Loop budget control to avoid infinite cost and latency growth.
Input shape
{
action: 'start' | 'step' | 'status' | 'finalize' | 'reset',
sessionId?: string,
goal?: string,
context?: string,
constraints?: string[],
thought?: string,
thoughtType?: 'decompose' | 'alternative' | 'critique' | 'synthesis' | 'verification' | 'revision',
confidence?: number,
finalAnswer?: string,
backendMode?: 'auto' | 'independent' | 'think',
maxLoops?: number,
showTrace?: boolean
}Output shape
{
status: 'in_progress' | 'blocked' | 'ready' | 'completed' | 'error',
sessionId: string,
loop: { current: number, max: number, required: number, remaining: number },
quality: {
overall: number,
coverage: number,
critique: number,
verification: number,
diversity: number,
confidenceStability: number
},
gate: { passed: boolean, reasonCodes: string[] },
requiredMoreThoughts: number,
nextPrompts: string[],
shortTrace: string[],
finalApprovedAnswer?: string
}Example flow
// 1. Start
{
action: 'start',
goal: 'Design a safe migration from Redis session cache to Postgres-backed sessions',
constraints: ['zero logout spike', 'rollback in under 5 minutes'],
backendMode: 'auto'
}
// 2. Add steps
{
action: 'step',
sessionId: 'cycle_xxx',
thought: 'Break the migration into dual-write, read-fallback, rollout metrics, and rollback paths.'
}
// 3. Try to finalize
{
action: 'finalize',
sessionId: 'cycle_xxx',
finalAnswer: 'We should migrate in phases and monitor it carefully...'
}Typical blocked response:
{
status: 'blocked',
gate: { passed: false, reasonCodes: ['MISSING_VERIFICATION', 'LOW_DIVERSITY'] },
requiredMoreThoughts: 10,
nextPrompts: [
'List concrete rollback failure modes.',
'Verify whether session consistency breaks during dual-write.',
'Compare at least two rollout strategies.'
]
}Other tools
think
Use when you want incremental reasoning with revisions, branches, substeps, and quick extensions.
{
thought: 'The bug likely comes from stale branch state after retry.',
thoughtNumber: 3,
totalThoughts: 7,
nextThoughtNeeded: true,
confidence: 6,
quickExtension: {
type: 'critique',
content: 'Verify whether retry state is recreated or reused.'
}
}think_batch
Use when you already know the rough chain and want to submit it in one call.
{
goal: 'Audit deployment rollback flow',
thoughts: [
{ thoughtNumber: 1, thought: 'Identify entry points for rollout state changes.' },
{ thoughtNumber: 2, thought: 'Trace rollback triggers and timeout behavior.' }
]
}think_logic
Use for strict methodology generation before a deep audit.
{
target: 'Review the payment retry pipeline for consistency and failure isolation',
depth: 'deep',
focus: ['reliability', 'performance', 'data-flow']
}think_recall
Use before starting a familiar class of problem.
{
query: 'rollback strategy cache migration',
scope: 'insights',
searchIn: 'all',
limit: 5
}Quality and release gates
Release verification is built into the repo:
npm run validate:releaseMain checks:
TypeScript typecheck
Unit tests
Local eval scenarios
Repo structure validation
Security audit
Hard quality baseline in
docs/quality/HARD_QUALITY_STANDARD.md
Runtime storage
Default data directory:
~/.think-mcpOverride with
THINK_MCP_DATA_DIRthink_cyclesessions persist in runtime storage with TTL cleanup
Package links
npm: @gofman3/think-mcp
repo: GofMan5/think-mcp
Changelog
v5.5.1
Fixed broken mojibake output in runtime coaching strings.
Rebuilt and refreshed README for the current toolset and quality model.
Released documentation and packaging cleanup on top of
5.5.0.
v5.5.0
Added
think_cyclefor adaptive external reasoning with hard quality gates.Added release-gated hard quality policy based on
NEED_ADD.Added eval scenarios for cycle gating, fallback behavior, autonomy quality, safety gates, and bounded retries.
v5.1.0
Switched prompt style toward imperative IF/THEN instructions.
Reduced token overhead significantly for common reasoning flows.
v5.0.0
Added
think_logicmethodology generation.