Ultimate MCP Server

🎯 Quick Installation

✨ Features

🤖 AI Models (50+)

• OpenAI: GPT-4o, GPT-4o-mini, o1-preview
• Anthropic: Claude 3 Opus, Sonnet, Haiku
• Google: Gemini 2.5 Pro/Flash
• xAI: Grok-2, Grok-3, Grok-4 (Beta)
• DeepSeek: V3, R1, Coder V2
• Meta: Llama 3.3 70B/405B
• Mistral: Large 2411, Codestral
• And many more...

🛠️ Tool Categories (81 Tools)

• Code Analysis: Error debugging, optimization
• Code Generation: Multi-language support
• Large Codebase: 1M+ token analysis
• RAG System: Vector search, embeddings
• Browser Automation: Web scraping, testing
• UI/UX Analysis: Design system extraction
• Cognitive Memory: Knowledge graphs
• Content Management: Documentation

📦 Installation Guides

Claude Desktop

Method 1: Using Claude's Official Tool

npx @claude/create-mcp-server
# Select "ultimate-mcp-server" from the list

Method 2: Manual Configuration

1. Open Claude Desktop settings
2. Navigate to Developer → Model Context Protocol
3. Click "Add Server" and enter:
   • Name: ultimate
   • Command: npx
   • Arguments: ultimate-mcp-server

Method 3: Edit Configuration File

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "ultimate": {
      "command": "npx",
      "args": ["ultimate-mcp-server"],
      "env": {
        "OPENROUTER_API_KEY": "your-key-here"
      }
    }
  }
}

Claude Code

Quick Install (Recommended)

claude mcp add ultimate npx ultimate-mcp-server

With API Keys

claude mcp add ultimate npx ultimate-mcp-server \
  -e OPENROUTER_API_KEY=your-key \
  -e ANTHROPIC_API_KEY=your-key \
  -e GOOGLE_API_KEY=your-key

Local Development

# Clone and build
git clone https://github.com/RaiAnsar/ultimate-mcp-server.git
cd ultimate-mcp-server
npm install && npm run build

# Add local version
claude mcp add ultimate node ./dist/index.js

Verify Installation

claude mcp list
# Should show: ultimate: npx ultimate-mcp-server - ✓ Connected

Cursor

1. Open Cursor Settings (Cmd/Ctrl + ,)
2. Search for "MCP" or navigate to Features → MCP
3. Click "Add MCP Server"
4. Configure:

{
  "name": "ultimate",
  "command": "npx",
  "args": ["ultimate-mcp-server"],
  "env": {
    "OPENROUTER_API_KEY": "your-key-here"
  }
}

5. Restart Cursor to activate

Alternative: Direct Config Edit

Edit ~/.cursor/config/settings.json:

{
  "mcp": {
    "servers": {
      "ultimate": {
        "command": "npx",
        "args": ["ultimate-mcp-server"],
        "env": {
          "OPENROUTER_API_KEY": "your-key"
        }
      }
    }
  }
}

VS Code (Continue Extension)

1. Install Continue extension from VS Code marketplace
2. Open Continue settings (Cmd/Ctrl + Shift + P → "Continue: Open Settings")
3. Add MCP configuration:

{
  "models": [...],
  "mcpServers": {
    "ultimate": {
      "command": "npx",
      "args": ["ultimate-mcp-server"],
      "env": {
        "OPENROUTER_API_KEY": "your-key"
      }
    }
  }
}

4. Reload VS Code window

Windsurf

1. Open Windsurf Settings
2. Navigate to AI → MCP Servers
3. Click "Add Server"
4. Enter configuration:

name: ultimate
command: npx
args:
  - ultimate-mcp-server
env:
  OPENROUTER_API_KEY: your-key

5. Save and restart Windsurf

Cline

Add to ~/.cline/config.json:

{
  "mcpServers": {
    "ultimate": {
      "command": "npx",
      "args": ["ultimate-mcp-server"],
      "env": {
        "OPENROUTER_API_KEY": "your-key"
      }
    }
  }
}

Google AI Studio

1. Open Google AI Studio
2. Go to Settings → Extensions
3. Enable MCP Support
4. Add server configuration:

{
  "ultimate": {
    "command": "npx",
    "args": ["ultimate-mcp-server"],
    "transport": "stdio"
  }
}

🔑 API Configuration

Required API Keys (at least one)

| Provider | Environment Variable | Get API Key | Models | |----------|---------------------|-------------|---------| | OpenRouter | OPENROUTER_API_KEY | Get Key | All 50+ models | | Anthropic | ANTHROPIC_API_KEY | Get Key | Claude models | | OpenAI | OPENAI_API_KEY | Get Key | GPT models | | Google | GOOGLE_API_KEY | Get Key | Gemini models | | Perplexity | PERPLEXITY_API_KEY | Get Key | Online search |

Setting API Keys

Method 1: Environment Variables

export OPENROUTER_API_KEY="sk-or-..."
export ANTHROPIC_API_KEY="sk-ant-..."

Method 2: .env File

Create .env in your project:

OPENROUTER_API_KEY=sk-or-...
ANTHROPIC_API_KEY=sk-ant-...
GOOGLE_API_KEY=...

Method 3: MCP Configuration

Add to your MCP client config:

{
  "env": {
    "OPENROUTER_API_KEY": "your-key",
    "ANTHROPIC_API_KEY": "your-key"
  }
}

🚀 Usage Examples

Basic Commands

# Start server (stdio mode)
npx ultimate-mcp-server

# With specific transport
ENABLE_SSE=true npx ultimate-mcp-server

# With multiple transports
ENABLE_HTTP=true ENABLE_WEBSOCKET=true npx ultimate-mcp-server

Tool Examples

Ask AI

// In your MCP client
await callTool('ask', {
  prompt: 'Explain async/await in JavaScript',
  model: 'openai/gpt-4o'
});

Analyze Error

await callTool('analyze_error', {
  error: 'TypeError: Cannot read property "x" of undefined',
  language: 'javascript'
});

Generate Code

await callTool('generate_code', {
  description: 'Binary search algorithm',
  language: 'python',
  includeTests: true
});

Analyze Large Codebase

await callTool('analyze_large_codebase', {
  rootDir: './src',
  query: 'Find all API endpoints',
  pattern: '.*\\.(ts|js)$'
});

📊 Tool Categories

• ask - Query specific AI models
• orchestrate - Multi-model orchestration
• generate_code - AI code generation
• explain_code - Code explanation
• suggest_optimizations - Performance optimization
• debugging_session - Interactive debugging
• analyze_error - Error analysis
• analyze_codebase - Codebase analysis
• find_in_codebase - Pattern search
• get_metrics - Performance metrics

• analyze_large_codebase - Analyze with 1M+ tokens
• generate_directory_tree - Visual directory structure
• collect_code_context - Context collection
• analyze_project_structure - Architecture analysis
• find_codebase_patterns - Pattern detection
• generate_project_docs - Auto documentation
• estimate_analysis_cost - Cost estimation

• rag_ingest_document - Document ingestion
• rag_search - Semantic search
• rag_query - Q&A with sources
• build_knowledge_graph - Graph construction
• cognitive_search - Memory search
• build_memory_context - Context building
• get_related_memories - Related concepts
• export_knowledge_graph - Graph export

• analyze_ui_design - UI/UX analysis
• extract_design_system - Design tokens
• check_ui_accessibility - WCAG compliance
• compare_ui_designs - A/B comparison
• suggest_ui_improvements - UX suggestions
• analyze_ui_components - Component audit
• create_ui_style_guide - Style documentation
• analyze_user_flow - Journey mapping
• browser_navigate - Web navigation
• browser_screenshot - Page capture

• universal_search - Multi-provider search
• search_files - File search
• search_content - Content grep
• search_processes - Process search
• search_everything - Unified search

🏗️ Architecture

graph TB
    A[MCP Client] -->|stdio/sse/http/ws| B[Transport Layer]
    B --> C[Ultimate MCP Server]
    C --> D[Tool Registry - 81 Tools]
    C --> E[AI Orchestrator]
    C --> F[Resource Manager]
    
    E --> G[OpenRouter - 50+ Models]
    E --> H[Direct Providers]
    
    D --> I[Code Intelligence]
    D --> J[Browser Automation]
    D --> K[RAG System]
    D --> L[UI Analysis]

🔧 Development

# Clone repository
git clone https://github.com/RaiAnsar/ultimate-mcp-server.git
cd ultimate-mcp-server

# Install dependencies
npm install

# Build project
npm run build

# Run tests
npm test

# Development mode
npm run dev

Project Structure

ultimate-mcp-server/
├── src/
│   ├── core/           # Core MCP functionality
│   ├── tools/          # All 81 tools
│   ├── providers/      # AI providers
│   ├── transports/     # Transport layers
│   └── utils/          # Utilities
├── dist/               # Compiled output
└── package.json

🤝 Contributing

Contributions are welcome! Please read our Contributing Guide for details.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📝 License

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

🆘 Support

• Documentation: Full Docs
• Issues: Report Bug
• Discussions: Community Forum
• Discord: Join Server

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