maid-lsp 0.1.2

Language Server Protocol implementation for MAID methodology validation

MAID LSP

Language Server Protocol implementation for MAID (Manifest-driven AI Development) methodology validation.

Status: v0.1.0 - Core implementation complete. All LSP capabilities functional.

Overview

MAID LSP provides real-time validation of MAID manifests in code editors and IDEs, including:

• VS Code (via extension)
• JetBrains IDEs (via plugin)
• Claude Code (native LSP support)
• Any LSP-compatible editor

Features

• Real-time Diagnostics: Instant validation feedback as you edit manifests
• Code Actions: Quick fixes for common validation errors (add missing fields, create referenced files)
• Hover Information: Detailed artifact information on hover (functions, classes, attributes)
• Push Diagnostics: Server pushes validation results on document changes with 100ms debouncing

Installation

Prerequisites

• Python 3.10+
• maid-runner >= 0.8.0
• uv (package manager)

From Source

# Clone the repository
git clone https://github.com/mamertofabian/maid-lsp.git
cd maid-lsp

# Install dependencies
uv sync --all-extras

# Run the server
uv run maid-lsp --stdio

Usage

Running the Server

# Start in stdio mode (default)
maid-lsp --stdio

# Or via make
make run

# Check version
maid-lsp --version

Editor Integration

The server communicates via stdio and validates files matching *.manifest.json.

Claude Code: Configure .lsp.json in your project root (see .lsp.json in this repo for example).

VS Code: Use the vscode-maid extension (planned).

Architecture

See the docs/ directory for detailed architecture documentation:

• Architecture - System design and components
• Capabilities - LSP features and diagnostic codes
• Integration - maid-runner CLI integration
• Performance - Performance specifications
• Claude Code - Claude Code integration guide

Three-Layer Design

┌─────────────────────────────────────────────────────────┐
│                    Protocol Layer                        │
│                   (maid_lsp/server.py)                  │
│                    pygls + LSP handlers                  │
└─────────────────────────────────────────────────────────┘
                           │
┌─────────────────────────────────────────────────────────┐
│                  Capabilities Layer                      │
│              (maid_lsp/capabilities/)                   │
│         diagnostics.py │ code_actions.py │ hover.py     │
└─────────────────────────────────────────────────────────┘
                           │
┌─────────────────────────────────────────────────────────┐
│                  Validation Layer                        │
│               (maid_lsp/validation/)                    │
│           runner.py │ parser.py │ models.py             │
└─────────────────────────────────────────────────────────┘

Key design decision: The server wraps maid-runner CLI via subprocess rather than importing modules directly. This keeps validation logic separate and uses CLI output as a stable API contract.

Project Structure

maid-lsp/
├── maid_lsp/
│   ├── __init__.py           # Package init with version
│   ├── __main__.py           # CLI entry point
│   ├── server.py             # Main LSP server
│   ├── capabilities/         # LSP capability handlers
│   │   ├── diagnostics.py    # Diagnostic publishing
│   │   ├── code_actions.py   # Quick fix actions
│   │   └── hover.py          # Hover information
│   ├── validation/           # maid-runner integration
│   │   ├── models.py         # Data models
│   │   ├── runner.py         # CLI wrapper
│   │   └── parser.py         # Result to diagnostic conversion
│   └── utils/
│       └── debounce.py       # Async debouncer
├── tests/                    # Behavioral tests
├── docs/                     # Architecture documentation
├── manifests/                # MAID manifests (dogfooding)
├── .claude-plugin/
│   └── plugin.json           # Claude Code plugin config
└── .lsp.json                 # LSP server configuration

Diagnostic Codes

Code	Severity	Description
MAID-001	Error	Schema validation errors
MAID-002	Error	Missing required fields
MAID-003	Error	File reference errors
MAID-004	Error	Artifact validation errors
MAID-005	Error	Behavioral validation errors
MAID-006	Error	Implementation validation errors
MAID-007	Error	Manifest chain errors
MAID-008	Warning	Coherence validation warnings

Development

Commands

# Install dependencies
uv sync --all-extras

# Run all quality checks (lint + type-check + test)
make all

# Individual commands
make lint           # Run ruff linter
make lint-fix       # Auto-fix linting issues
make type-check     # Run mypy type checker
make test           # Run pytest
make test-cov       # Run tests with coverage report
make format         # Format code with black
make format-check   # Check formatting without changes

# Run a single test
uv run pytest tests/test_task_002_debounce.py -v

MAID Methodology

This project uses the MAID methodology for all implementation. Each feature was developed following the MAID workflow with manifests in the manifests/ directory.

Task	Component	Status
task-001	Package initialization	Complete
task-002	Async debouncer	Complete
task-003	Validation models	Complete
task-004	MaidRunner CLI wrapper	Complete
task-005	Validation parser	Complete
task-006	Diagnostics handler	Complete
task-007	Code actions handler	Complete
task-008	Hover handler	Complete
task-009	Main server	Complete
task-010	CLI entry point	Complete

Related Projects

• maid-runner - MAID CLI validation tool
• vscode-maid - VS Code extension (planned)

License

MIT License - see LICENSE for details.

Acknowledgments

• pygls - Python LSP framework
• lsprotocol - LSP type definitions