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Ultrafast MCP Sequential Thinking

Rust-based MCP server for sequential thinking using UltraFast MCP.

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Scored 7 months ago · breakdown

About Ultrafast MCP Sequential Thinking

Ultrafast MCP Sequential Thinking is an MCP server published by techgopal in the Developer Tools category: rust-based MCP server for sequential thinking using UltraFast MCP.

The repository has 16 stars and 3 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/techgopal/ultrafast-mcp-sequential-thinking

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README

UltraFast MCP Sequential Thinking

Docker Image Crates.io

Official Docker image available at techgopal/ultrafast-mcp-sequential-thinking


A high-performance, Rust-based Model Context Protocol (MCP) server and client implementation for sequential thinking, built on the UltraFast MCP framework.

🚀 Overview

UltraFast MCP Sequential Thinking provides a structured approach to problem-solving through dynamic and reflective thinking processes. This implementation offers significant performance advantages over the official TypeScript version while maintaining full compatibility with the MCP 2025-06-18 specification.

✨ Features

Core Capabilities

  • Dynamic Problem Breakdown: Break complex problems into manageable steps
  • Reflective Thinking: Revise and refine thoughts as understanding deepens
  • Branching Logic: Explore alternative paths of reasoning
  • Adaptive Planning: Adjust the total number of thoughts dynamically
  • Solution Verification: Generate and verify solution hypotheses
  • Context Preservation: Maintain thinking context across multiple steps

Performance Advantages

  • 10-100x Faster: Rust implementation provides significant performance gains
  • Memory Efficient: Optimized for handling large thinking sessions
  • Concurrent Processing: Async/await support for high-throughput operations
  • Type Safety: Compile-time guarantees for protocol compliance
  • Production Ready: Comprehensive error handling and monitoring

Enhanced Features

  • Progress Tracking: Real-time progress notifications for long thinking sessions
  • Cancellation Support: Interrupt thinking processes when needed
  • Session Management: Persistent thinking sessions across connections
  • Export Capabilities: Export thinking sessions in various formats
  • Analytics: Detailed analytics on thinking patterns and efficiency

🏗️ Architecture

Server Components

┌─────────────────────────────────────────────────────────────┐
│                Sequential Thinking Server                   │
├─────────────────────────────────────────────────────────────┤
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐        │
│  │   Thinking  │  │   Session   │  │   Analytics │        │
│  │   Engine    │  │  Management │  │   & Metrics │        │
│  └─────────────┘  └─────────────┘  └─────────────┘        │
├─────────────────────────────────────────────────────────────┤
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐        │
│  │   Branch    │  │   Context   │  │   Export    │        │
│  │  Management │  │  Tracking   │  │   Handlers  │        │
│  └─────────────┘  └─────────────┘  └─────────────┘        │
├─────────────────────────────────────────────────────────────┤
│                    UltraFast MCP Core                      │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐        │
│  │   Protocol  │  │   Transport │  │   Handlers  │        │
│  │   Layer     │  │   Layer     │  │   System    │        │
│  └─────────────┘  └─────────────┘  └─────────────┘        │
└─────────────────────────────────────────────────────────────┘

Client Components

┌─────────────────────────────────────────────────────────────┐
│                Sequential Thinking Client                   │
├─────────────────────────────────────────────────────────────┤
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐        │
│  │   Session   │  │   Progress  │  │   Export    │        │
│  │   Manager   │  │   Tracker   │  │   Manager   │        │
│  └─────────────┘  └─────────────┘  └─────────────┘        │
├─────────────────────────────────────────────────────────────┤
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐        │
│  │   Thinking  │  │   Branch    │  │   Analytics │        │
│  │   Interface │  │   Explorer  │  │   Dashboard │        │
│  └─────────────┘  └─────────────┘  └─────────────┘        │
├─────────────────────────────────────────────────────────────┤
│                    UltraFast MCP Client                    │
└─────────────────────────────────────────────────────────────┘

🛠️ Installation

Prerequisites

  • Rust 1.70 or later
  • Cargo (Rust package manager)

Quick Start

1. Clone the Repository

git clone https://github.com/your-org/ultrafast-mcp-sequential-thinking.git
cd ultrafast-mcp-sequential-thinking

2. Build the Project

cargo build --release

3. Run the Server

# STDIO transport (default)
cargo run --bin sequential-thinking-server

# HTTP transport
cargo run --bin sequential-thinking-server -- --transport http --port 8080

4. Run the Client

# Connect to server
cargo run --bin sequential-thinking-client -- --server stdio://

# Connect to HTTP server
cargo run --bin sequential-thinking-client -- --server http://localhost:8080

5. Use MCP Inspector (Optional)

# Start HTTP server for Inspector
cargo run --bin sequential-thinking-server -- --transport http --port 8080

# Open MCP Inspector and load mcp-inspector-config.json
# Choose "sequential-thinking-server-http" for HTTP transport

Quick Start with Docker

1. Use the Official Docker Image

# Pull the latest image from Docker Hub
docker pull techgopal/ultrafast-mcp-sequential-thinking:latest

# Run HTTP server on port 8080
docker run --rm -p 8080:8080 techgopal/ultrafast-mcp-sequential-thinking:latest

# Run with custom configuration
docker run --rm -p 8080:8080 -e MAX_THOUGHTS=200 techgopal/ultrafast-mcp-sequential-thinking:latest

# Run in detached mode
docker run -d --name thinking-server -p 8080:8080 techgopal/ultrafast-mcp-sequential-thinking:latest

2. (Optional) Build the Docker Image Locally

# Build the server image locally (if you want to make changes)
docker build -t sequential-thinking-server .

# Verify the image was created
docker images | grep sequential-thinking-server

3. Connect Client to Docker Server

# Connect to HTTP server running in Docker
cargo run --bin sequential-thinking-client -- --server http://localhost:8080

# Or use curl to test the server
curl -X POST http://localhost:8080/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"initialize","params":{"protocolVersion":"2025-06-18"},"id":1}'

Example MCP Inspector Docker Configuration

If you want to use MCP Inspector or other tools to launch the server in a Docker container with advanced options (such as analytics and increased max thoughts), use the following configuration:

{
  "mcpServers": {
    "sequential-thinking": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "techgopal/ultrafast-mcp-sequential-thinking:latest",
        "/usr/local/bin/sequential-thinking-server",
        "--transport",
        "stdio",
        "--max-thoughts",
        "200",
        "--enable-analytics"
      ],
      "env": {}
    }
  }
}

This configuration will start the server in a Docker container using STDIO transport, with analytics enabled and a higher max thoughts limit. Adjust the arguments as needed for your use case.

4. Docker Compose (Optional)

# Create docker-compose.yml for easy deployment
cat > docker-compose.yml << EOF
version: '3.8'
services:
  sequential-thinking-server:
    build: .
    ports:
      - "8080:8080"
    environment:
      - MAX_THOUGHTS=100
      - ENABLE_ANALYTICS=true
    restart: unless-stopped
EOF

# Start with Docker Compose
docker-compose up -d

# Stop the service
docker-compose down

Multi-Platform Docker Support

The Docker image supports multiple platforms for maximum compatibility:

Supported Platforms

  • linux/amd64: Intel/AMD 64-bit processors
  • linux/arm64: ARM 64-bit processors (Apple Silicon, ARM servers)
  • linux/arm/v7: ARM 32-bit processors (Raspberry Pi, older ARM devices)

Platform-Specific Usage

# Pull for specific platform
docker pull --platform linux/amd64 techgopal/ultrafast-mcp-sequential-thinking:latest
docker pull --platform linux/arm64 techgopal/ultrafast-mcp-sequential-thinking:latest
docker pull --platform linux/arm/v7 techgopal/ultrafast-mcp-sequential-thinking:latest

# Run on specific platform
docker run --platform linux/amd64 --rm -p 8080:8080 techgopal/ultrafast-mcp-sequential-thinking:latest
docker run --platform linux/arm64 --rm -p 8080:8080 techgopal/ultrafast-mcp-sequential-thinking:latest
docker run --platform linux/arm/v7 --rm -p 8080:8080 techgopal/ultrafast-mcp-sequential-thinking:latest

Build Multi-Platform Images Locally

# Set up Docker Buildx for multi-platform builds
docker buildx create --name multiplatform --use

# Build for all supported platforms
docker buildx build --platform linux/amd64,linux/arm64,linux/arm/v7 \
  -t your-username/ultrafast-mcp-sequential-thinking:latest \
  --push .

# Build for specific platform only
docker buildx build --platform linux/arm64 \
  -t your-username/ultrafast-mcp-sequential-thinking:arm64 \
  --push .

Docker Compose with Platform Specification

# docker-compose.yml
version: '3.8'
services:
  sequential-thinking:
    image: techgopal/ultrafast-mcp-sequential-thinking:latest
    platform: linux/arm64  # Specify platform for ARM64
    ports:
      - "8080:8080"
    environment:
      - MAX_THOUGHTS=200
      - ENABLE_ANALYTICS=true
    restart: unless-stopped

CI/CD Multi-Platform Pipeline

The project includes GitHub Actions workflows that automatically build and push multi-platform images:

  • Docker Test: Builds and tests images on pull requests
  • Docker Release: Builds and pushes multi-platform images on main branch
  • Caching: Uses GitHub Actions cache for faster builds
  • Provenance: Disabled for better compatibility

Build Scripts

The project includes convenient scripts for building and testing multi-platform images:

# Build multi-platform images locally
./scripts/build-multi-platform.sh --push

# Test multi-platform images
./scripts/test-multi-platform.sh

# Build for specific platforms only
./scripts/build-multi-platform.sh -p linux/amd64,linux/arm64 --push

# Test with custom image and port
./scripts/test-multi-platform.sh -i my-image -t v1.0.0 -p 9090

🔧 Configuration

MCP Inspector

This project includes an MCP Inspector configuration file (mcp-inspector-config.json) that supports both HTTP and STDIO transport modes.

Using MCP Inspector

  1. Start the server (choose one):

    # HTTP transport (recommended for Inspector)
    cargo run --bin sequential-thinking-server -- --transport http --port 8080
    
    # STDIO transport
    cargo run --bin sequential-thinking-server -- --transport stdio
    
  2. Open MCP Inspector and load the config file:

    • Navigate to the project directory
    • Select mcp-inspector-config.json
    • Choose your preferred transport mode:
      • HTTP: sequential-thinking-server-http (default)
      • STDIO: sequential-thinking-server-stdio
  3. Test the tools:

    • sequential_thinking: Main thinking tool for problem-solving
    • export_session: Export sessions in various formats
    • analyze_session: Get analytics and insights
    • merge_sessions: Combine multiple sessions

Config File Structure

The mcp-inspector-config.json includes:

  • HTTP Server: http://localhost:8080/mcp
  • STDIO Server: Cargo subprocess with stdio transport
  • Tool Schemas: Complete input/output schemas for all tools
  • Documentation: Detailed descriptions for each tool

Server Configuration

# config.toml
[server]
name = "ultrafast-sequential-thinking"
version = "1.0.0"
transport = "http"
port = 8080

[thinking]
max_thoughts_per_session = 100
max_branches_per_session = 10
session_timeout_seconds = 3600
enable_analytics = true

[export]
formats = ["json", "markdown", "pdf"]
auto_export = false

Client Configuration

# client_config.toml
[client]
server_url = "http://localhost:8080"
timeout_seconds = 30
retry_attempts = 3

[thinking]
auto_save_interval = 60
enable_progress_tracking = true
show_thought_visualization = true

📊 API Reference

Core Types

ThoughtData

pub struct ThoughtData {
    pub thought: String,
    pub thought_number: u32,
    pub total_thoughts: u32,
    pub next_thought_needed: bool,
    pub is_revision: Option<bool>,
    pub revises_thought: Option<u32>,
    pub branch_from_thought: Option<u32>,
    pub branch_id: Option<String>,
    pub needs_more_thoughts: Option<bool>,
}

ThinkingSession

pub struct ThinkingSession {
    pub session_id: String,
    pub title: String,
    pub thoughts: Vec<ThoughtData>,
    pub branches: HashMap<String, Vec<ThoughtData>>,
    pub metadata: SessionMetadata,
}

Server Endpoints

Tools

  • sequential_thinking: Main thinking tool (MCP 2025-06-18 compliant)
  • export_session: Export thinking session in various formats
  • analyze_session: Get analytics and insights from session
  • merge_sessions: Merge multiple thinking sessions

Resources

  • session_history: Access to thinking session history
  • analytics_data: Session analytics and metrics
  • export_templates: Export format templates

🧪 Testing

Run Tests

# Run all tests
cargo test

# Run specific test suite
cargo test --test thinking_tests

# Run with coverage
cargo tarpaulin

Integration Tests

# Run integration tests
cargo test --test integration_tests

# Run performance benchmarks
cargo bench

📈 Performance

Benchmarks

  • Thought Processing: ~0.1ms per thought (vs 1-5ms in TypeScript)
  • Session Creation: ~0.5ms (vs 10-20ms in TypeScript)
  • Branch Management: ~0.2ms per branch (vs 2-8ms in TypeScript)
  • Export Operations: ~1ms for JSON, ~5ms for Markdown (vs 50-200ms in TypeScript)

Memory Usage

  • Per Session: ~2KB base + 100 bytes per thought
  • Server Memory: ~10MB base + 1KB per active session
  • Client Memory: ~5MB base + 500 bytes per session

🔒 Security

Features

  • Input Validation: Comprehensive validation of all inputs
  • Session Isolation: Complete isolation between sessions
  • Rate Limiting: Built-in rate limiting for API endpoints
  • Authentication: Optional OAuth 2.1 support
  • Audit Logging: Complete audit trail for all operations

Best Practices

  • Validate all user inputs before processing
  • Implement proper session cleanup
  • Use HTTPS for all HTTP communications
  • Regular security audits and updates

🤝 Contributing

Development Setup

# Clone repository
git clone https://github.com/techgopal/ultrafast-mcp-sequential-thinking.git
cd ultrafast-mcp-sequential-thinking

# Install dependencies
cargo build

# Run development server
cargo run --bin sequential-thinking-server -- --dev

# Run tests
cargo test

Code Style

  • Follow Rust coding standards
  • Use cargo fmt for formatting
  • Use cargo clippy for linting
  • Write comprehensive tests

Pull Request Process

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests
  5. Update documentation
  6. Submit a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

  • Model Context Protocol: For the excellent protocol specification
  • UltraFast MCP: For the high-performance Rust framework
  • Official Sequential Thinking Server: For the original TypeScript implementation

🔄 Changelog

v1.0.0

  • Initial release
  • Full MCP 2025-06-18 compliance
  • High-performance Rust implementation
  • Comprehensive testing suite
  • Production-ready features

Built with ❤️ using UltraFast MCP

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Ultrafast MCP Sequential Thinking

How do I install Ultrafast MCP Sequential Thinking?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Ultrafast MCP Sequential Thinking safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Ultrafast MCP Sequential Thinking still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.