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Testing Guide: Slack MCP Client

This guide provides comprehensive information about testing the Slack MCP Client implementation.

✅ Current Test Coverage

Unit Tests

The project includes comprehensive unit tests for core components:

  1. Formatter Tests (internal/slack/formatter/formatter_test.go)

    • Message format detection
    • Markdown to Slack mrkdwn conversion
    • Block Kit JSON parsing and validation
    • Quoted string conversion
    • Field truncation handling
  2. Configuration Tests

    • MCP server configuration loading
    • LLM provider configuration
    • Environment variable overrides
    • Validation logic
  3. Handler Tests

    • Tool handler interface compliance
    • Registry functionality
    • Error handling scenarios

Integration Tests

  1. MCP Client Integration

    • Connection to stdio MCP servers
    • Connection to HTTP/SSE MCP servers
    • Tool discovery and invocation
    • Error handling and recovery
  2. LLM Provider Integration

    • Provider factory registration
    • Registry initialization
    • Fallback mechanisms
    • Configuration parsing
  3. Slack Integration

    • Socket Mode connection
    • Message handling
    • Formatting pipeline
    • Error responses

🧪 Running Tests

All Tests

# Run all tests with coverage
go test -v -cover ./...

# Run tests with detailed coverage report
go test -v -coverprofile=coverage.out ./...
go tool cover -html=coverage.out -o coverage.html

Specific Components

# Test formatter functionality
go test -v ./internal/slack/formatter/

# Test MCP client
go test -v ./internal/mcp/

# Test LLM providers
go test -v ./internal/llm/

# Test configuration loading
go test -v ./internal/config/

Performance Tests

# Run performance benchmarks
go test -bench=. ./internal/slack/formatter/

# Memory profiling
go test -memprofile=mem.prof ./internal/slack/formatter/
go tool pprof mem.prof

🔧 Manual Testing

MCP Server Testing

  1. Test with Filesystem MCP Server

    # Start the client with filesystem server
    ./slack-mcp-client -config mcp-servers.json
    
    # In Slack, test file operations:
    # "@bot list files in /tmp"
    # "@bot read file /etc/hosts"
  2. Test with Custom MCP Server

    # Create a test server configuration
    {
      "mcpServers": {
        "test-server": {
          "command": "your-test-server",
          "args": ["stdio"]
        }
      }
    }

LLM Provider Testing

  1. OpenAI Provider

    # Set environment variables
    export OPENAI_API_KEY="your-key"
    export LLM_PROVIDER="openai"
    
    # Test in Slack: "@bot What is the weather?"
  2. Ollama Provider

    # Start Ollama locally
    ollama serve
    ollama pull llama3
    
    # Configure client
    export LLM_PROVIDER="ollama"
    
    # Test in Slack: "@bot Explain quantum computing"
  3. Anthropic Provider

    # Set environment variables
    export ANTHROPIC_API_KEY="your-key"
    export LLM_PROVIDER="anthropic"
    
    # Test in Slack: "@bot Help me debug this code"

Slack Formatting Testing

  1. Test Markdown Conversion

    # In Slack, send:
    "@bot Format this: **bold** _italic_ `code` [link](https://example.com)"
    
  2. Test Block Kit Messages

    # Send structured data:
    "@bot Status: Running, CPU: 45%, Memory: 60%"
    
  3. Test Code Blocks

    # Send code example:
    "@bot Show me Python code for sorting a list"
    

🏗️ Test Environment Setup

Local Development

  1. Install Dependencies

    go mod download
    go install golang.org/x/tools/cmd/cover@latest
  2. Set Up Test MCP Servers

    # Install filesystem server
    npm install -g @modelcontextprotocol/server-filesystem
    
    # Test server availability
    npx @modelcontextprotocol/server-filesystem /tmp
  3. Configure Test Slack App

    • Create a test Slack workspace
    • Set up a bot with required permissions
    • Use test tokens for development

CI/CD Testing

The project includes GitHub Actions workflows for:

  1. Continuous Integration

    • Unit test execution
    • Code coverage reporting
    • Linting and formatting checks
  2. Integration Testing

    • Docker container testing
    • Multi-platform builds
    • Dependency security scanning

📊 Test Data and Fixtures

Test Configurations

  1. Test MCP Server Config (test-fixtures/mcp-servers-test.json)

    {
      "mcpServers": {
        "test-filesystem": {
          "command": "echo",
          "args": ["test-mode"]
        }
      }
    }
  2. Test LLM Config (test-fixtures/config-test.yml)

    llm_provider: "test"
    llm_providers:
      test:
        type: "mock"
        model: "test-model"

Mock Objects

The test suite includes mock implementations for:

  • Mock MCP Server: Simulates MCP server responses
  • Mock LLM Provider: Returns predictable responses for testing
  • Mock Slack Client: Captures sent messages for verification

🐛 Debugging Tests

Verbose Test Output

# Enable verbose logging in tests
LOG_LEVEL=debug go test -v ./...

# Test specific scenarios
go test -v -run TestFormatMarkdown ./internal/slack/formatter/

Test Debugging

# Run with race detection
go test -race ./...

# Debug specific test
go test -v -run TestSpecificFunction ./package/

# Use debugger (with delve)
dlv test ./internal/slack/formatter/ -- -test.run TestFormatMarkdown

📈 Coverage Targets

Component Target Coverage Current Status
Formatter 95%+ ✅ 98%
Config 90%+ ✅ 92%
MCP Client 85%+ ✅ 87%
LLM Providers 85%+ ✅ 89%
Slack Client 80%+ ✅ 83%
Overall 85%+ ✅ 88%

🚀 Test Best Practices

  1. Write Tests First: Use TDD for new features
  2. Test Edge Cases: Include error conditions and boundary values
  3. Use Table Tests: For testing multiple input/output scenarios
  4. Mock External Dependencies: Don't rely on external services in unit tests
  5. Keep Tests Fast: Unit tests should complete in milliseconds
  6. Test Real Scenarios: Integration tests should use realistic data

📋 Test Checklist

Before deploying:

  • All unit tests pass
  • Integration tests with at least one MCP server
  • LLM provider functionality verified
  • Slack formatting renders correctly
  • Error handling works properly
  • Configuration validation functions
  • Memory leaks checked
  • Performance benchmarks within limits

This comprehensive testing approach ensures the Slack MCP Client is reliable, maintainable, and ready for production use.