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  1. Home
  2. 🧠 Knowledge & Memory
  3. Deep Thinker
Deep Thinker logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 2:17:19 PM

Deep Thinker

User RatingsBe the first to rate and review this MCP server!
View Repository13 GitHub StarsTotal stargazers on GitHub for the source repository (13 stars).Visit Website

Cognitive reasoning MCP server using DAG thought graphs with 10 strategies, metacognition, confidence scoring, and knowledge integration.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

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Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON â–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "hubinoretros-deep-thinker": {
      "command": "npx",
      "args": [
        "-y",
        "deep-thinker"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (17) Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

This MCP server enables advanced cognitive reasoning by representing thoughts as a directed acyclic graph rather than a linear chain. It supports 10 distinct reasoning strategies, including dialectic, abductive, analogical, and systems thinking, with automatic strategy selection. The server features metacognitive capabilities to detect stagnation and suggest corrective actions, multi-factor confidence scoring, and integration of external knowledge. Use it when you need structured, deep reasoning with session persistence and comprehensive thought management.

Use cases

•Perform architecture decision analysis using dialectic and parallel reasoning
•Diagnose and debug incidents with abductive reasoning
•Prioritize features through combined parallel and dialectic strategies
•Generate scientific hypotheses using analogical and abductive methods
•Break reasoning dead ends with metacognitive strategy switching

Key features

•DAG-based thought graph with branching, merging, and cross-edges
•10 reasoning strategies including auto-selection and first principles
•Metacognitive engine detecting stuck states and suggesting strategy changes
•Multi-factor confidence scoring with support and contradiction analysis
•Session persistence with auto-save and resume capabilities
•Structured MCPResponse JSON with consistent status, summary, and confidence

Capabilities & Tool Schemas (17) ~364 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Deep Thinker.

think

Add a thought to the cognitive graph using a reasoning strategy.

evaluate

Evaluate the thinking process with confidence scoring, critique, and graph health analysis.

metacog

Metacognitive operations — monitor and control the thinking process.

graph

Query and visualize the thought graph.

prune

Prune and optimize the thought graph.

reset

Reset the thought graph and start a fresh session, save, or resume a saved session.

Documentation Overview

deep-thinker

CI npm version npm downloads license GitHub stars

Advanced cognitive thinking MCP server with DAG-based thought graph, 10 reasoning strategies (including auto-selection), 17 tools, node aliases, session persistence, structured responses, and intelligent error handling.

A significant evolution beyond sequential-thinking MCP, providing structured deep reasoning with graph-based thought management, schema validation, and intelligent strategy selection.

Quick Start

Terminal
npx deep-thinker
config.json
{
  "mcpServers": {
    "deep-thinker": {
      "command": "npx",
      "args": ["-y", "deep-thinker"]
    }
  }
}

Examples

ExampleStrategyUse Case
Architecture DecisionDialectic + ParallelMonolith vs microservices
Debugging IncidentAbductiveProduction 500 errors
Feature PrioritizationParallel + DialecticQ3 roadmap planning
Scientific HypothesisAnalogical + AbductiveLNP delivery for CRISPR
Breaking Dead EndsMetacognitive switchServerless cost analysis

Features

  • DAG-Based Thought Graph — Thoughts form a directed acyclic graph with branching, merging, and cross-edges (not just a linear chain)
  • 10 Reasoning Strategies — Sequential, Dialectic (thesis→antithesis→synthesis), Parallel, Analogical, Abductive, First Principles (deconstruct to fundamentals), Counterfactual (what-if with ripple effects), Systems Thinking (feedback loops & leverage points), MCTS (Monte Carlo optimization), Auto (intelligent auto-selection based on content and graph state)
  • Node Aliases — Use "last", "best", "root" instead of cryptic node IDs for any nodeId parameter
  • Structured Responses — All tool responses return consistent MCPResponse JSON with status, summary, confidence, nextSuggested action
  • Session Persistence — Auto-saves thought graph to ~/.deep-thinker/sessions/; resume across MCP restarts with reset({ resume: "name" })
  • Friendly Error Messages — Zod validation errors translated to human-readable hints (e.g., "confidence 0 ile 1 arasında...")
  • Confidence Scoring — Multi-factor confidence evaluation with support/contradiction analysis, depth penalties, and knowledge integration boosts
  • Self-Critique — Automatic critique generation with severity levels and confidence adjustments
  • Metacognitive Engine — Detects stuck states, stagnation, declining confidence; suggests strategy switches and corrective actions
  • Knowledge Integration — Attach external knowledge to thoughts, detect gaps, validate consistency across sources
  • Thought Pruning — Dead-end detection, redundancy removal, deep unproductive branch elimination, path optimization
  • help Tool — Discover all 17 tools grouped by category (core/advanced/workflow) with quick-start examples
  • conclude Tool — Comprehensive graph summary with primaryFinding, actionItems, graphHealth, and nextSuggested
  • High-IQ Reasoning Enhancements — 8 advanced tools: visualization, devil's advocate, cross-disciplinary synthesis, temporal projection, ethical evaluation, emotional intelligence analysis, decision explanation, social impact analysis
  • Emotional Intelligence — Analyze emotional tone, empathy, persuasion effectiveness, stakeholder emotions
  • Ethical Frameworks — Evaluate through deontological, consequentialist, virtue ethics, rights-based perspectives
  • Cross-Domain Synthesis — Combine insights from biology, economics, physics, psychology, computer science, art
  • Temporal Reasoning — Project thoughts into future/past scenarios with optimistic, pessimistic, realistic, disruptive scenarios
  • Social Impact Modeling — Analyze stakeholder emotions, group cohesion, persuasion effectiveness, ethical alignment
  • Uncertainty Quantification — Confidence intervals, probability distributions, sensitivity analysis for robust decisions
  • Multi-Language Support — Thoughts in English, Turkish, German, French, Spanish, Japanese, Chinese, Russian
  • Meta-Cognitive Layers — Recursive reasoning across 5 levels of meta-cognition
  • PromptOptimizer (Node Zero) — Entry point that transforms vague prompts into optimized Super Prompts with automatic strategy routing

Installation

Global

Terminal
npm install -g deep-thinker

npx (no install)

Terminal
npx deep-thinker

MCP Configuration

Claude Desktop

Add to your claude_desktop_config.json:

config.json
{
  "mcpServers": {
    "deep-thinker": {
      "command": "npx",
      "args": ["-y", "deep-thinker"]
    }
  }
}

Or if installed globally:

config.json
{
  "mcpServers": {
    "deep-thinker": {
      "command": "deep-thinker"
    }
  }
}

Other MCP Clients

The server communicates over stdio. Point your MCP client to the deep-thinker command or node path/to/dist/index.js.

Response Format

All tool responses follow the MCPResponse structure:

config.json
{
  "status": "ok | error | warning",
  "nodeId": "thought_3",
  "summary": "sequential stratejisiyle \"Should we use microservices?...\" eklendi",
  "confidence": 0.75,
  "data": { "...": "tool-specific data" },
  "nextSuggested": {
    "tool": "evaluate",
    "params": { "critique": true },
    "reason": "Düşük confidence — değerlendirme önerilir"
  },
  "warnings": ["Stuck detected: ..."]
}

The nextSuggested field always recommends the next logical step, making it easy to chain tool calls without guessing.

Node Aliases

Instead of looking up cryptic node IDs, use aliases for any nodeId, parentId, or targetId parameter:

AliasResolves To
"last"Most recently added node (insertion order)
"best"Node with highest confidence score
"root"First node with no incoming edges
Code
evaluate({ nodeId: "last" })                              → evaluates the latest thought
simulate_devils_advocate({ nodeId: "best", depth: 2 })    → challenges the strongest thought
graph({ action: "path", nodeId: "root", targetId: "best" }) → traces from root to best conclusion

Session Persistence

Thought graphs are automatically saved after every think call. Sessions are stored in ~/.deep-thinker/sessions/.

javascript
// Save current session explicitly
reset({ save: true, saveName: "my-analysis" })

// List saved sessions
reset({ listSessions: true })

// Resume a saved session after MCP restart
reset({ resume: "my-analysis" })

Tools

Core Tools

think

Add a thought to the cognitive graph using a reasoning strategy.

Parameters:

ParameterTypeRequiredDescription
contentstringYesThe thought content
typestringNoThought type: hypothesis, analysis, evidence, conclusion, question, assumption, insight, critique, synthesis, observation
strategystringNoStrategy: sequential, dialectic, parallel, analogical, abductive, first_principles, counterfactual, systems_thinking, mcts, auto
confidencenumberNoInitial confidence 0-1 (default: 0.5)
parentIdstringNoParent node ID or alias (default: last leaf)
branchstringNoBranch name for parallel exploration
tagsstring[]NoTags for categorization
edgeToobjectNoExplicit edge: { targetId, type }
dialecticobjectNoDialectic mode: { thesis, antithesis?, synthesis? }
parallelarrayNoParallel mode: [{ content, type, confidence }]
analogicalobjectNoAnalogical mode: { sourceDomain, mapping, projectedConclusion }
abductiveobjectNoAbductive mode: { observation, explanations[], bestExplanation? }
firstPrinciplesobjectNoFirst Principles mode: { problem, assumptions?, depth?, domain? }
counterfactualobjectNoCounterfactual mode: { currentState?, variablesToChange, rippleDepth? }
systemsThinkingobjectNoSystems Thinking mode: { systemDescription?, components, focusArea? }
mctsobjectNoMCTS mode: { problem?, possibleActions, numSimulations? }
knowledgeobjectNoAttach knowledge: { source, content, relevance }

Strategy details:

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
13
Stargazers on the source repository.
npm downloads
242
Package downloads in the last 30 days.
Last commit
3mo ago
Most recent push to the default branch.
Tools exposed
17
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Deep Thinker

It uses a directed acyclic graph to represent thoughts, allowing branching, merging, and cross-edges instead of a linear chain.

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand â–¾
TransportSTDIO
RuntimeNode.js
Last updatedAug 7, 2026
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars13
GitHub Star CountTotal stargazers on GitHub representing community popularity (13 stars).
Last commit3mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on May 23, 2026
npm downloads242/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
57Quality signal: Good · 57/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools28/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 27d ago via OSV.dev · deep-thinker (npm)

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