Zed Integration

Zed Integration

Integrate Dispersl with Zed editor through Model Context Protocol (MCP) to enhance your high-performance development workflow with multi-agent AI capabilities and specialized development agents.

What You'll Get

With Dispersl integrated into Zed, you can:

Enhance high-performance coding with multi-agent coordination
Generate complex applications with specialized AI agents
Automate testing workflows with dedicated test agents
Manage Git operations through AI assistance
Generate comprehensive documentation as you code
Maintain Zed's speed while adding powerful AI capabilities

Prerequisites

Zed editor installed and configured
Active Dispersl account with API access
Dispersl MCP key (obtained from your dashboard)
Node.js and npm installed for MCP package

Setup Instructions

Step 1: Get Your Dispersl MCP Key

Obtain your Dispersl MCP key:

Log into your Dispersl dashboard
Navigate to Settings → MCP Integration
Generate a new MCP key or copy your existing key
Save this key securely for configuration

Or via API:

curl -X GET "https://api.dispersl.com/v1/mcp/key" \
  -H "Authorization: Bearer YOUR_DISPERSL_API_KEY"

Step 2: Install Dispersl MCP Package

npm install -g dispersl-mcp

Step 3: Configure Zed Settings

Global Configuration

Edit your Zed settings file (~/.config/zed/settings.json):

{
  "mcp": {
    "servers": {
      "dispersl": {
        "command": "dispersl-mcp",
        "args": ["--zed-mode"],
        "env": {
          "DISPERSL_MCP_KEY": "YOUR_DISPERSL_MCP_KEY",
          "ZED_INTEGRATION": "true"
        }
      }
    },
    "auto_start": true,
    "log_level": "info"
  },
  "dispersl": {
    "enabled": true,
    "show_status": true,
    "keybindings": true
  }
}

Project-Specific Configuration

For project-specific settings, create .zed/settings.json in your project root:

{
  "mcp": {
    "servers": {
      "dispersl": {
        "command": "dispersl-mcp",
        "args": ["--zed-mode", "--project-root", "."],
        "env": {
          "DISPERSL_MCP_KEY": "YOUR_DISPERSL_MCP_KEY",
          "PROJECT_TYPE": "rust-project",
          "DISPERSL_CONFIG": ".dispersl.json"
        }
      }
    }
  }
}

Step 4: Create Project Configuration

Create .dispersl.json in your project root:

{
  "zed_integration": {
    "enabled": true,
    "performance_mode": true,
    "async_operations": true,
    "cache_enabled": true
  },
  "agents": {
    "code": {
      "model": "anthropic/claude-3-sonnet",
      "specialization": ["rust", "performance", "systems"],
      "optimization_level": "high"
    },
    "test": {
      "model": "openai/gpt-4",
      "frameworks": ["cargo-test", "criterion"],
      "performance_testing": true
    },
    "git": {
      "model": "deepseek/deepseek-r1",
      "fast_operations": true,
      "branch_strategy": "feature",
      "commit_style": "conventional"
    },
    "docs": {
      "model": "google/gemini-pro",
      "format": "rustdoc",
      "include_examples": true,
      "performance_notes": true
    }
  },
  "performance": {
    "parallel_agents": true,
    "max_concurrent": 4,
    "cache_duration": "1h",
    "streaming_responses": true
  }
}

Step 5: Configure Keybindings

Add custom keybindings in ~/.config/zed/keymap.json:

[
  {
    "context": "Editor",
    "bindings": {
      "cmd-shift-p": "dispersl::plan_task",
      "cmd-shift-c": "dispersl::generate_code",
      "cmd-shift-t": "dispersl::generate_tests",
      "cmd-shift-g": "dispersl::git_operations",
      "cmd-shift-d": "dispersl::generate_docs",
      "cmd-shift-r": "dispersl::refactor_code",
      "cmd-shift-o": "dispersl::optimize_performance"
    }
  }
]

Verification

Test your Dispersl integration in Zed:

Restart Zed
Open the Command Palette (Cmd+Shift+P)
Type "Dispersl" to see available commands
Test the connection:
```
Dispersl: Show Available Agents
```

If successful, you'll see Dispersl agents available and ready for coordination.

Using Dispersl in Zed

High-Performance Development

Rust Systems Programming

Dispersl: Build a high-performance web server in Rust with:
- Async/await architecture using Tokio
- Zero-copy parsing and serialization
- Memory-efficient data structures
- Comprehensive benchmarking
- Performance profiling integration
- Documentation with performance characteristics

Focus on speed and efficiency while maintaining code quality.

Performance-Critical Applications

Use Dispersl to optimize this Rust application:
- Code Agent: Implement SIMD optimizations
- Test Agent: Create performance benchmarks
- Docs Agent: Document performance characteristics
- Git Agent: Manage optimization branches

Maintain Zed's fast feedback loop while leveraging AI capabilities.

Multi-Agent Coordination

Systems Development

Dispersl: Create a distributed system with:

1. Plan Agent: Design system architecture
2. Code Agent: Implement core services in Rust
3. Test Agent: Create integration and load tests
4. Git Agent: Manage microservice repositories
5. Docs Agent: Generate system documentation

Coordinate agents efficiently to maintain development speed.

Game Engine Development

Build a game engine using Dispersl coordination:
- Rendering pipeline implementation
- Physics engine integration
- Asset management system
- Performance profiling tools
- Cross-platform compatibility
- Comprehensive documentation

Code Generation and Optimization

High-Performance Algorithms

Dispersl Code Agent: Implement a high-performance sorting algorithm with:
- SIMD vectorization
- Cache-friendly memory access patterns
- Parallel processing capabilities
- Comprehensive benchmarking
- Assembly-level optimizations where needed

Systems Integration

Generate FFI bindings and integrations:
- C/C++ library bindings
- Python extension modules
- WebAssembly compilation
- Cross-platform compatibility
- Performance testing

Testing and Benchmarking

Performance Testing

Dispersl Test Agent: Create comprehensive performance testing:
- Criterion.rs benchmarks
- Memory usage profiling
- CPU performance analysis
- Regression testing
- Continuous performance monitoring

Systems Testing

Generate systems-level tests:
- Integration testing across services
- Load testing and stress testing
- Fault tolerance testing
- Performance regression detection
- Automated performance reporting

Advanced Features

Performance Optimization

Configure Dispersl for maximum performance in Zed:

{
  "dispersl_performance": {
    "async_mode": true,
    "streaming_responses": true,
    "local_caching": true,
    "parallel_processing": true,
    "memory_optimization": true
  }
}

Language-Specific Configuration

Rust Development

{
  "rust_config": {
    "cargo_integration": true,
    "clippy_suggestions": true,
    "rustfmt_integration": true,
    "performance_focus": true,
    "unsafe_code_analysis": true
  }
}

Systems Programming

{
  "systems_config": {
    "memory_safety": true,
    "performance_profiling": true,
    "cross_platform": true,
    "low_level_optimization": true
  }
}

Integration with Zed Features

Language Server Integration

Enhance rust-analyzer with AI insights
Provide context-aware code suggestions
Integrate with Zed's fast compilation feedback

Git Integration

AI-powered commit message generation
Intelligent branch management
Performance-aware code review

Project Management

Multi-crate workspace coordination
Dependency management assistance
Build optimization suggestions

Best Practices

Performance Optimization

Maintain Zed's speed: Configure Dispersl for minimal latency
Use async operations: Leverage non-blocking AI interactions
Enable caching: Cache frequent operations for speed
Parallel processing: Run independent agents simultaneously

Workflow Integration

Leverage Zed's strengths: Use Zed for fast editing, Dispersl for complex tasks
Minimize context switching: Group related AI operations
Use streaming: Enable streaming responses for real-time feedback
Optimize for languages: Configure agents for your primary languages

Development Efficiency

Custom keybindings: Set up efficient keyboard shortcuts
Project templates: Create reusable project configurations
Agent specialization: Configure agents for specific project types
Performance monitoring: Track agent performance and optimization

Troubleshooting

Common Issues

"Slow agent responses"

Enable async mode and streaming responses
Check network connectivity and latency
Verify local caching is enabled
Review agent model selection for speed

"MCP server not starting"

Check dispersl-mcp package installation
Verify MCP key validity and account status
Review Zed's developer console for errors
Restart Zed after configuration changes

"Performance degradation"

Monitor agent resource usage
Check for memory leaks in long-running sessions
Verify caching is working correctly
Review parallel processing settings

Performance Optimization

Enable all performance features in configuration
Use local caching for frequently accessed data
Configure parallel agents for independent tasks
Monitor resource usage and adjust settings
Use streaming responses for real-time feedback

Getting Help

Check Zed's logs for MCP-related errors
Review Dispersl dashboard for agent performance metrics
Test individual agents to isolate performance issues
Community support: Join our Discord for optimization tips
Documentation: Review performance tuning guides

Example Workflows

High-Performance Web Server

Dispersl: Build a high-performance HTTP server in Rust

Requirements:
- Handle 100k+ concurrent connections
- Sub-millisecond response times
- Memory-efficient request handling
- Comprehensive benchmarking
- Production-ready error handling

Agents coordination:
- Code Agent: Implement async server architecture
- Test Agent: Create performance benchmarks
- Docs Agent: Document performance characteristics
- Git Agent: Manage optimization iterations

Game Engine Development

Create a 2D game engine with Dispersl:

Core systems:
- Rendering pipeline with GPU acceleration
- Physics engine with spatial partitioning
- Asset management with streaming
- Audio system with 3D positioning
- Input handling with low latency
- Cross-platform compatibility

Focus on performance and maintainability.

Systems Programming Project

Dispersl: Develop a custom allocator in Rust

Features:
- Memory pool management
- Thread-safe operations
- Performance profiling
- Comprehensive testing
- Documentation with examples
- Benchmarking against standard allocators

Optimize for both speed and memory efficiency.

Next Steps

Complete the setup following the instructions above
Test with simple tasks to verify performance
Explore multi-agent coordination for complex projects
Optimize configurations for your development style
Scale to high-performance projects with confidence

Ready to enhance Zed's lightning-fast development experience with Dispersl's multi-agent AI capabilities!

Windsurf Claude