ultrafast-mcp-sequential-thinking

techgopal/ultrafast-mcp-sequential-thinking

3.3

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UltraFast MCP Sequential Thinking is a high-performance, Rust-based Model Context Protocol (MCP) server and client implementation designed for sequential thinking.

Tools
  1. sequential_thinking

    Main thinking tool for problem-solving.

  2. export_session

    Export thinking sessions in various formats.

  3. analyze_session

    Get analytics and insights from session.

  4. merge_sessions

    Combine multiple thinking sessions.

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.

๐Ÿš€ 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.

โœจ 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

๐Ÿ—๏ธ Architecture

Server Components

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                Sequential Thinking Server                   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”        โ”‚
โ”‚  โ”‚   Thinking  โ”‚  โ”‚   Session   โ”‚  โ”‚   Analytics โ”‚        โ”‚
โ”‚  โ”‚   Engine    โ”‚  โ”‚  Management โ”‚  โ”‚   & Metrics โ”‚        โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜        โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”        โ”‚
โ”‚  โ”‚   Branch    โ”‚  โ”‚   Context   โ”‚  โ”‚   Export    โ”‚        โ”‚
โ”‚  โ”‚  Management โ”‚  โ”‚  Tracking   โ”‚  โ”‚   Handlers  โ”‚        โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜        โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚                    UltraFast MCP Core                      โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”        โ”‚
โ”‚  โ”‚   Protocol  โ”‚  โ”‚   Transport โ”‚  โ”‚   Handlers  โ”‚        โ”‚
โ”‚  โ”‚   Layer     โ”‚  โ”‚   Layer     โ”‚  โ”‚   System    โ”‚        โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜        โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Client Components

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                Sequential Thinking Client                   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”        โ”‚
โ”‚  โ”‚   Session   โ”‚  โ”‚   Progress  โ”‚  โ”‚   Export    โ”‚        โ”‚
โ”‚  โ”‚   Manager   โ”‚  โ”‚   Tracker   โ”‚  โ”‚   Manager   โ”‚        โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜        โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”        โ”‚
โ”‚  โ”‚   Thinking  โ”‚  โ”‚   Branch    โ”‚  โ”‚   Analytics โ”‚        โ”‚
โ”‚  โ”‚   Interface โ”‚  โ”‚   Explorer  โ”‚  โ”‚   Dashboard โ”‚        โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜        โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚                    UltraFast MCP Client                    โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

๐Ÿ› ๏ธ 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

๐Ÿ”ง 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

๐Ÿ“Š 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

๐Ÿงช 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

๐Ÿ“ˆ 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

๐Ÿ”’ 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

๐Ÿค 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

๐Ÿ“„ License

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

๐Ÿ™ 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

๐Ÿ”„ Changelog

v1.0.0

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

Built with โค๏ธ using UltraFast MCP