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Mind Map

de nerfelsversión 1.12.13i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.nerfels/mind-map

Instalar

Resumen

Descripción del creador (original en inglés)

Experimental code intelligence platform for Claude Code with AST parsing and context analysis

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Otros

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • npmNode.js instalado (para el comando npx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "mind-map": {
      "command": "npx",
      "args": [
        "-y",
        "mind-map-mcp"
      ],
      "env": {
        "MCP_PROJECT_ROOT": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add mind-map --env MCP_PROJECT_ROOT=your-value -- npx -y mind-map-mcp

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "mind-map": {
      "command": "npx",
      "args": [
        "-y",
        "mind-map-mcp"
      ],
      "env": {
        "MCP_PROJECT_ROOT": "your-value"
      }
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "mind-map": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mind-map-mcp"
      ],
      "env": {
        "MCP_PROJECT_ROOT": "your-value"
      }
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Valores que debes completar

  • MCP_PROJECT_ROOT env
    Project root directory for MCP to analyze (optional - uses current working directory if not specified)

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub nerfels, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 32403 servidores de esta categoría
  • Publicado en el registro más recientemente que el 0% de los otros 32403 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32403 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Mind Map?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (1.12.13) llegó al registro hace 14 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, LickityClick

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Spec Driven Development

de formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado ayer
Instalar

LickityClick

de lickity.click

Create, edit and track LickityClick short links, campaigns and click stats from your AI assistant.

Computadora o nubeActualizado hoy
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

Mind Map MCP Server v1.22.0

Experimental Code Intelligence Platform - A Model Context Protocol (MCP) server that explores neuroscience-inspired approaches to software development analysis. This is an experimental research project featuring advanced query caching, associative learning patterns, context awareness, attention mechanisms, temporal knowledge modeling, and code analysis tools.

⚠️ Current Status: Experimental v1.22.0

🧪 This is experimental software under active development - Use for testing and research purposes. Features may change or be removed.

Features under development: Context-aware caching • Brain-inspired learning • Code pattern detection • Document analysis • Multi-language AST parsing • File ignore patterns • CI/CD automation • Memory optimization

🎯 Latest Update v1.22.0: Cross-Language API Detection - Comprehensive API endpoint detection across 12 programming languages. New Features: Detect REST APIs (Flask, Express, Spring Boot), GraphQL schemas, gRPC services, WebSocket endpoints, and WebAssembly modules. Language Support: Python, JavaScript/TypeScript, Java, Go, Rust, C++, C#, PHP, Ruby, Swift, Kotlin, and Scala. Intelligent Detection: Framework-specific patterns with confidence scoring for accurate API discovery. New dedicated MCP tool detect_cross_language_apis for direct API analysis.

⚠️ Important Disclaimer

This is experimental software developed for research and testing purposes. It explores various approaches to code analysis and project understanding using Model Context Protocol (MCP).

Before using:

  • Expect bugs, incomplete features, and breaking changes
  • Use in non-production environments only
  • Backup your projects before extensive use
  • Report issues and provide feedback to help improve the project

Use cases:

  • Improving coding workflows with Claude Code - Enhanced project understanding and context
  • Experimenting with MCP server development
  • Testing code analysis and pattern detection approaches
  • Research into alternative programming assistance tools
  • Learning about AST parsing and project structure analysis

📦 Installation & Setup

Quick Install from npm
# Install globally

npm install -g mind-map-mcp

Or install locally in your project

npm install mind-map-mcp

Claude Code Integration
1. Automatic Setup (Recommended)

The easiest way to set up Mind Map MCP with Claude Code:

# Run the automatic setup tool

npx mind-map-mcp init-claude-code

Or if installed globally

mind-map-mcp init-claude-code

This automatically:

  • ✅ Detects your operating system and Claude installation
  • ✅ Creates proper configuration files with correct paths
  • ✅ Provides platform-specific setup instructions
  • ✅ Includes verification commands and troubleshooting
2. Manual Setup for Claude Desktop

If you prefer manual configuration, add this to your Claude Desktop config:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json Linux: ~/.config/claude-desktop/config.json

{

"mcpServers": { "mind-map-mcp": { "command": "npx", "args": ["mind-map-mcp"], "env": {} } } }

3. Environment Variable Configuration

You can configure the MCP server to work with specific project directories using the MCP_PROJECT_ROOT environment variable:

{

"mcpServers": { "mind-map-mcp": { "command": "npx", "args": ["mind-map-mcp"], "env": { "MCP_PROJECT_ROOT": "/path/to/your/project" } } } }

What it does:

  • Makes MCP scan and cache files in the specified project directory
  • Creates .mindmap-cache folder in the target project
  • Uses project-specific configuration and mind map data
  • Allows working with multiple projects independently

Usage Examples:

// For a specific project

"env": { "MCP_PROJECT_ROOT": "/Users/yourname/projects/my-app" }

// For a demo or test project "env": { "MCP_PROJECT_ROOT": "/Users/yourname/projects/demo-project" }

Without this variable: MCP uses the current working directory where the MCP server was started.

4. Verify Installation

After setup, restart Claude and verify the integration:

  1. Check MCP Tools: In Claude, you should see 33 new MCP tools available
  2. Test Basic Functionality: Try these commands in Claude:
   Please scan the current project and show me the statistics.
  1. Test Features: Try experimental features:
   Please analyze the project architecture.
📝 Usage with Claude Code

Once installed, you can experiment with these commands in Claude:

Sample Workflow
# Start with basic scanning:

Please scan the project and get initial statistics.

Explore analysis features:

Please analyze the project structure and suggest areas of focus.

Test learning features:

Please update the mind map with information about [task description].

🔬 Experimental Analysis Features
# Hebbian Learning - "Neurons that fire together, wire together"

Please show me the Hebbian learning statistics and top co-activation patterns.

Hierarchical Context - Multi-level awareness

Please get the hierarchical context stats and most relevant context items.

Attention System - Dynamic focus allocation

Please show the attention system statistics and allocate attention to important nodes.

Bi-temporal Knowledge - Valid vs Transaction time tracking

Please get bi-temporal statistics and create a context window for this session.

Pattern Prediction - Anticipatory intelligence

Please get pattern predictions and show emerging patterns.

Advanced Intelligence Features
# Get architectural insights

Please analyze the project architecture and detect design patterns.

Find cross-language dependencies

Please detect cross-language dependencies in this polyglot project.

Get intelligent refactoring suggestions

Please generate multi-language refactoring suggestions focused on architecture.

Predict emerging code patterns

Please analyze and predict what code patterns are likely to emerge.

Development Tool Integration
# Detect available tools

Please detect all development tools available in this project.

Run comprehensive analysis

Please run the full tool suite and provide aggregated results.

Get tool recommendations

Please recommend missing development tools that would benefit this project.

📋 Verification Checklist

✅ Installation: npm list -g mind-map-mcp shows the package ✅ Claude Integration: 33 MCP tools visible in Claude ✅ Basic Functionality: scan_project command works ✅ Advanced Features: Brain-inspired tools respond correctly ✅ Multi-language Support: AST analysis works for your languages

🔧 Troubleshooting

Common Issues:

  1. "No MCP tools visible" → Restart Claude after configuration
  2. "Command not found" → Ensure npm global install path is in PATH
  3. "Permission denied" → Run npm config get prefix and check permissions
  4. "Server not responding" → Check Claude Desktop config file syntax

Get Help:

  • 📖 Check QUICK_USAGE.md for workflow examples
  • 📖 Read CLAUDE_CODE_SETUP.md for detailed setup
  • 🐛 Report issues: https://github.com/nerfels/mind-map/issues

Features

🧠 Brain-Inspired Intelligence (Phase 6)
  • Associative Memory System: Neural activation spreading across connected code concepts (50-70% relevance improvement)
  • Context-Aware Query Caching: Intelligent caching with similarity matching (5-10x performance boost for repeated queries)
  • Parallel Processing Engine: Chunked file analysis with worker pool orchestration (3-5x faster project scanning)
  • Neuromorphic Query Patterns: Replaces linear search with brain-like associative activation networks
  • Intelligent Cache Invalidation: Path-based selective cache clearing with LRU eviction and 100MB memory management
  • Hebbian Learning System: Co-activation tracking with synaptic strengthening ("neurons that fire together, wire together")
  • Inhibitory Learning: Failure avoidance through negative pattern recognition (30% reduction in repeated mistakes)
  • Hierarchical Context Management: Multi-level context awareness (immediate, session, project, domain)
  • Attention Mechanisms: Multi-modal attention fusion with cognitive load management (Miller's 7±2 rule)
  • Bi-temporal Knowledge Model: Valid time vs transaction time tracking with complete audit trails
  • Pattern Prediction Engine: Anticipates code patterns before they emerge using time series analysis and predictive forecasting
🚀 Memory Optimization (v1.15.0)
  • Variable Lazy Loading: Intelligent memory management with 40.3% reduction in variable node memory usage
  • Smart Filtering: Only loads critical variables (exported, global, heavily-used >5 references) immediately
  • Summary Node System: Creates single nodes containing lazy-loaded variable metadata for thousands of variables
  • On-Demand Loading: 8ms average retrieval time for pattern-based variable queries
  • Full Functionality Preservation: All variable querying capabilities maintained while dramatically reducing memory footprint
  • Automatic Optimization: No configuration required - automatically detects important vs. lazily-loadable variables
📊 Advanced Call Pattern Analysis (v1.1.5)
  • Function Call Graph Construction: Complete call graph analysis with entry points, cycles, and depth calculation
  • Constructor Call Detection: Accurate detection of class instantiation and constructor patterns
  • Method Call Analysis: Comprehensive tracking of method invocations and chaining patterns
  • Async/Await Pattern Recognition: Full support for asynchronous call pattern detection
  • Recursion Detection: Automatic identification of recursive functions and call cycles
  • Code Style Recognition: Comprehensive naming convention and style pattern analysis
  • Complexity Calculation: Enhanced cyclomatic complexity with callback function and control flow analysis
  • Cross-File Pattern Resolution: Advanced resolution of call patterns across multiple files
🚀 CI/CD Pipeline Infrastructure (v1.1.5)
  • Automated Testing: Comprehensive test suite with multi-language AST validation
  • Security Scanning: Automated vulnerability detection with npm audit integration
  • Performance Monitoring: Continuous performance benchmarking with alert thresholds
  • Code Quality Analysis: Bundle size monitoring, style analysis, and quality reporting
  • Release Automation: Automated NPM publishing with GitHub release creation
  • Maintenance Workflows: Dependency updates, health checks, and system monitoring
  • Pull Request Validation: PR title validation, impact analysis, and comprehensive testing
📁 Enhanced File Ignore Configuration (v1.6.0)
  • Multi-Source Pattern Loading: Intelligent pattern merging from defaults, .gitignore, .mindmapignore, and custom configuration
  • Real-Time Pattern Testing: Live pattern validation with performance metrics and file matching preview
  • Pattern Analytics & Statistics: Comprehensive stats on pattern effectiveness, scan time reduction, and filtering efficiency
  • Smart Default Patterns: 30 intelligent default patterns for common file types (node_modules, build artifacts, etc.)
  • Configuration Management API: 3 new MCP tools for dynamic pattern updates and testing
  • Developer-Friendly Interface: Familiar .gitignore syntax with enhanced capabilities and precedence rules
  • Performance Optimization: 33% file filtering efficiency with 8-12ms pattern loading for improved scan performance
  • Framework-Specific Patterns: Language and framework-specific ignore patterns (*.pyc, *.class, target/, dist/)
🧠 Advanced Code Int

Solo se muestra el principio; lee el resto en el repo

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