MCP Toolkit Server

MCP (Model Context Protocol) server implementing tools, resources, and prompts with dependency-injected providers and mock mode for demos.

Overview

A top-tier implementation of an MCP server using the @modelcontextprotocol/sdk. Demonstrates all 2025 MCP spec features:

• Tools: Text analysis (summarize, sentiment, entities), Brave web search, weather, smart_summarize (sampling), configure_analysis (elicitation)
• Sampling: smart_summarize sends sampling/createMessage to the connected client (bidirectional MCP)
• Elicitation: configure_analysis uses elicitation/create for structured user follow-up questions
• Tool annotations: All tools include readOnlyHint, idempotentHint, destructiveHint, openWorldHint per 2025 MCP spec
• outputSchema: Text analysis tools declare structured output schemas
• Resources: Server config, tool catalog, health status
• Prompts: Research topic, text analysis, weather briefing templates
• Production providers: Real Brave Search API and OpenWeatherMap when MCP_MODE=production

Everything runs in mock mode by default — no API keys needed.

Features

Installation

npm install -g @jstilb/mcp-toolkit-server

Or run directly without installing:

npx @jstilb/mcp-toolkit-server

Or clone for development:

git clone https://github.com/jstilb/mcp-toolkit-server.git
cd mcp-toolkit-server
npm install

Quick Start

Demo Mode

make demo
# or
npm run demo

Claude Desktop Integration

Add to your Claude Desktop config (claude_desktop_config.json):

Mock mode (no API keys needed):

{
  "mcpServers": {
    "mcp-toolkit": {
      "command": "npx",
      "args": ["@jstilb/mcp-toolkit-server"],
      "env": {
        "MCP_MODE": "mock"
      }
    }
  }
}

Production mode (with real APIs):

{
  "mcpServers": {
    "mcp-toolkit": {
      "command": "npx",
      "args": ["@jstilb/mcp-toolkit-server"],
      "env": {
        "MCP_MODE": "production",
        "BRAVE_API_KEY": "your-brave-api-key",
        "OPENWEATHERMAP_API_KEY": "your-openweathermap-api-key"
      }
    }
  }
}

Claude Desktop config file locations:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

Claude Code Integration

Use with Claude Code (claude.ai/code):

# Add to your project's MCP config
claude mcp add @jstilb/mcp-toolkit-server

# Or run directly in a project session
claude --mcp-server "npx @jstilb/mcp-toolkit-server"

You can also add it to your .claude/settings.json:

{
  "mcpServers": {
    "mcp-toolkit": {
      "command": "npx",
      "args": ["@jstilb/mcp-toolkit-server"],
      "env": {
        "MCP_MODE": "mock"
      }
    }
  }
}

Using MCP Features in Claude Code

Once connected, Claude Code can use all server tools:

# Summarize text with client-side LLM (sampling)
> Use smart_summarize to summarize: "Your long text here..."

# Configure analysis with follow-up questions (elicitation)
> Use configure_analysis on this text

# Search the web (mock mode returns structured mock results)
> Use brave_web_search to find "MCP protocol examples"

# Get weather
> Use get_weather for "San Francisco"

Development

bun run dev      # Watch mode
bun run build    # Compile TypeScript
bun run test     # Run tests with coverage

Architecture

src/
  server.ts        # MCP server setup (tools, resources, prompts)
  config.ts        # Environment-based configuration
  result.ts        # Result<T, E> type for error handling
  tools/
    text-analysis.ts  # Summarize, sentiment, entity extraction
    web-search.ts     # Web search tool
    weather.ts        # Weather tool
  resources/
    index.ts       # MCP resources (config, tools, health)
  prompts/
    index.ts       # MCP prompt templates
  providers/
    provider.ts    # Provider interfaces
    mock.ts        # Mock implementations
    index.ts       # Provider factory

See docs/architecture.md for detailed diagrams.

API Reference

Tools

Resources

Prompts

Configuration

Testing

make test              # All tests with coverage
make test-unit         # Unit tests only
make lint              # ESLint + Prettier
make type-check        # TypeScript strict check

Contributing

1. Fork the repository
2. Create a feature branch
3. Write tests first (TDD)
4. Implement your feature
5. Run make check
6. Submit a pull request

License

MIT License - see LICENSE for details.

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