SkyDeckAI Code

An MCP server that provides a comprehensive set of tools for AI-driven development workflows. Features include file system operations, code analysis using tree-sitter for multiple programming languages, code execution, web content fetching with HTML-to-markdown conversion, multi-engine web search, code content searching, and system information retrieval. Designed to enhance AI's capability to assist in software development tasks by providing direct access to both local and remote resources.

Formerly Known As MCP-Server-AIDD

This mcp server was formerly known as `mcp-server-aidd`. It was renamed to `skydeckai-code` to credit the team at SkyDeck.ai with creating this application along with East Agile. But more importantly we realized that the term AI Driven Development (AIDD) was just not catching on. People did not understand at a glance what it was about. And nor did LLMs. "Code" was far more intuitive. And linguistically intuitive is important in the world of agentic AI.

Installation

# Using uvx
uvx skydeckai-code

Claude Desktop Setup

Add to your `claude_desktop_config.json`:

{
    "mcpServers": {
        "skydeckai-code": {
            "command": "uvx",
            "args": ["skydeckai-code"]
        }
    }
}

SkyDeck AI Helper App

If you're using MseeP AI Helper app, you can search for "SkyDeckAI Code" and install it.

Key Features

• File system operations (read, write, edit, move, copy, delete)
• Directory management and traversal
• Multi-language code analysis using tree-sitter
• Code content searching with regex pattern matching
• Multi-language code execution with safety measures
• Web content fetching from APIs and websites with HTML-to-markdown conversion
• Multi-engine web search with reliable fallback mechanisms
• Batch operations for parallel and serial tool execution
• Security controls with configurable workspace boundaries
• Screenshot and screen context tools
• Image handling tools

Available Tools (29)

Detailed Tool Documentation

Basic File Operations

Complex File Operations

edit_file

Pattern-based file editing with preview support:

{
    "path": "src/main.py",
    "edits": [
        {
            "oldText": "def old_function():",
            "newText": "def new_function():"
        }
    ],
    "dryRun": false,
    "options": {
        "partialMatch": true
    }
}

Returns: Diff of changes or preview in dry run mode.

Directory Operations

The `search_files` tool searches for files by name pattern, while the `search_code` tool searches within file contents using regex. Use `search_files` when looking for files with specific names or extensions, and `search_code` when searching for specific text patterns inside files.

directory_tree

Generates complete directory structure:

{
    "path": "src",
    "include_hidden": false
}

Returns: JSON tree structure of directory contents.

Code Analysis

codebase_mapper

Analyzes source code structure:

{
    "path": "src"
}

Returns:

• Classes and their methods
• Functions and parameters
• Module structure
• Code organization statistics
• Inheritance relationships

Supported Languages:

• Python (.py)
• JavaScript (.js/.jsx, .mjs, .cjs)
• TypeScript (.ts/.tsx)
• Java (.java)
• C++ (.cpp, .hpp, .cc)
• Ruby (.rb, .rake)
• Go (.go)
• Rust (.rs)
• PHP (.php)
• C# (.cs)
• Kotlin (.kt, .kts)

search_code

Fast content search tool using regular expressions:

{
    "patterns": ["function\\s+\\w+", "class\\s+\\w+"],
    "include": "*.js",
    "exclude": "node_modules/**",
    "max_results": 50,
    "case_sensitive": false,
    "path": "src"
}

Parameters:

Returns:

Matching lines grouped by file with line numbers, sorted by file modification time with newest files first.

This tool uses ripgrep when available for optimal performance, with a Python fallback implementation. It's ideal for finding specific code patterns like function declarations, imports, variable usages, or error handling.

System Information

Returns:

{
  "working_directory": "/path/to/project",
  "system": {
    "os", "os_version", "architecture", "python_version"
  },
  "wifi_network": "MyWiFi",
  "cpu": {
    "physical_cores", "logical_cores", "total_cpu_usage"
  },
  "memory": { "total", "available", "used_percentage" },
  "disk": { "total", "free", "used_percentage" },
  "mac_details": {  // Only present on macOS
    "model": "Mac mini",
    "chip": "Apple M2",
    "serial_number": "XXX"
  }
}

Provides essential system information in a clean, readable format.

Screen Context and Image Tools

get_active_apps

Returns a list of currently active applications on the user's system.

{
    "with_details": true
}

Parameters:

Returns:

{
    "success": true,
    "platform": "macos",
    "app_count": 12,
    "apps": [
        {
            "name": "Firefox",
            "has_windows": true,
            "window_count": 3,
            "visible_windows": [
                { "name": "GitHub - Mozilla Firefox", "width": 1200, "height": 800 }
            ]
        },
        {
            "name": "VSCode",
            "has_windows": true
        }
    ]
}

This tool provides valuable context about applications currently running on the user's system, which can help with providing more relevant assistance.

get_available_windows

Returns detailed information about all available windows currently displayed on the user's screen.

{}

Returns:

{
    "success": true,
    "platform": "macos",
    "count": 8,
    "windows": [
        {
            "id": 42,
            "title": "Document.txt - Notepad",
            "app": "Notepad",
            "visible": true
        },
        {
            "title": "Terminal",
            "app": "Terminal",
            "visible": true,
            "active": true
        }
    ]
}

This tool helps understand what's visible on the user's screen and can be used for context-aware assistance.

capture_screenshot

Captures a screenshot of the user's screen or a specific window.

{
    "output_path": "screenshots/capture.png",
    "capture_mode": {
        "type": "named_window",
        "window_name": "Visual Studio Code"
    }
}

Parameters:

Returns:

{
    "success": true,
    "path": "/path/to/screenshots/capture.png"
}

This tool captures screenshots for visualization, debugging, or context-aware assistance.

read_image_file

Reads an image file from the file system and returns its contents as a base64-encoded string.

{
    "path": "images/logo.png"
}

Parameters:

Returns:

Base64-encoded image data that can be displayed or processed.

This tool supports common image formats like PNG, JPEG, GIF, and WebP, and automatically resizes images for optimal viewing.

Web Tools

web_fetch

Fetches content from a URL and optionally saves it to a file.

{
    "url": "https://api.github.com/users/octocat",
    "headers": {
        "Accept": "application/json"
    },
    "timeout": 15,
    "save_to_file": "downloads/octocat.json",
    "convert_html_to_markdown": true
}

Parameters:

Returns:

Response content as text with HTTP status code and size information. For binary content, returns metadata and saves to file if requested. When convert_html_to_markdown is enabled, HTML content is automatically converted to markdown format for better readability.

This tool can be used to access web APIs, fetch documentation, or download content from the web while respecting size limits (10MB max) and security constraints.

web_search

Performs a robust web search using multiple search engines and returns concise, relevant results.

{
    "query": "latest python release features",
    "num_results": 8,
    "convert_html_to_markdown": true,
    "search_engine": "bing"
}

Parameters:

Returns:

A list of search results formatted in markdown, including titles, URLs, and snippets for each result. Results are deduplicated and organized hierarchically for easy reading.

This tool uses a multi-engine approach that tries different search engines with various parsing strategies to ensure reliable results. You can specify a preferred engine, but some engines may block automated access, in which case the tool will fall back to alternative engines when "auto" is selected.

Utility Tools

batch_tools

Execute multiple tool invocations in a single request with parallel execution when possible.

{
    "description": "Setup new project",
    "sequential": true,
    "invocations": [
        {
            "tool": "create_directory",
            "arguments": {
                "path": "src"
            }
        },
        {
            "tool": "write_file",
            "arguments": {
                "path": "README.md",
                "content": "# New Project\n\nThis is a new project."
            }
        },
        {
            "tool": "execute_shell_script",
            "arguments": {
                "script": "git init"
            }
        }
    ]
}

Parameters:

Returns:

Combined results from all tool invocations, grouped by tool with success/error status for each. Results are presented in the original invocation order with clear section headers.

This tool provides efficient execution of multiple operations in a single request. When `sequential` is false (default), tools are executed in parallel for better performance. When `sequential` is true, tools are executed in order, and if any tool fails, execution stops.

IMPORTANT: All tools in the batch execute in the same working directory context. If a tool creates a directory and a subsequent tool needs to work inside that directory, you must either:

1. Use paths relative to the current working directory (e.g., "project/src" rather than just "src"), or

2. Include an explicit tool invocation to change directories using `update_allowed_directory`

think

A tool for complex reasoning and brainstorming without making changes to the repository.

{
    "thought": "Let me analyze the performance issue in the codebase:\n\n## Root Cause Analysis\n\n1. The database query is inefficient because:\n   - It doesn't use proper indexing\n   - It fetches more columns than needed\n   - The JOIN operation is unnecessarily complex\n\n## Potential Solutions\n\n1. **Add database indexes**:\n   - Create an index on the user_id column\n   - Create a composite index on (created_at, status)\n\n2. **Optimize the query**:\n   - Select only necessary columns\n   - Rewrite the JOIN using a subquery\n   - Add LIMIT clause for pagination\n\n3. **Add caching layer**:\n   - Cache frequent queries using Redis\n   - Implement cache invalidation strategy\n\nAfter weighing the options, solution #2 seems to be the simplest to implement with the highest impact."
}

Parameters:

Returns:

Your thoughts formatted as markdown, with a note indicating this was a thinking exercise.

This tool is useful for thinking through complex problems, brainstorming solutions, or laying out implementation plans without making any actual changes. It's a great way to document your reasoning process, evaluate different approaches, or plan out a multi-step strategy before taking action.

Code Execution

execute_code

Executes code in various programming languages with safety measures and restrictions.

{
    "language": "python",
    "code": "print('Hello, World!')",
    "timeout": 5
}

Supported Languages:

• Python (python3)
• JavaScript (Node.js)
• Ruby
• PHP
• Go
• Rust

Parameters:

Requirements:

• Respective language runtimes must be installed
• Commands must be available in system PATH
• Proper permissions for temporary file creation

⚠️ Security Warning:

This tool executes arbitrary code on your system. Always:

1. Review code thoroughly before execution

2. Understand the code's purpose and expected outcome

3. Never execute untrusted code

4. Be aware of potential system impacts

5. Monitor execution output

execute_shell_script

Executes shell scripts (bash/sh) with safety measures and restrictions.

{
    "script": "echo \"Current directory:\" && pwd",
    "timeout": 300
}

Parameters:

Features:

• Uses /bin/sh for maximum compatibility across systems
• Executes within the allowed directory
• Separate stdout and stderr output
• Proper error handling and timeout controls

⚠️ Security Warning:

This tool executes arbitrary shell commands on your system. Always:

1. Review the script thoroughly before execution

2. Understand the script's purpose and expected outcome

3. Never execute untrusted scripts

4. Be aware of potential system impacts

5. Monitor execution output

Todo Tools

The todo tools provide sequential task management capabilities for workspace-first development workflows. Tasks are executed in order without priority systems, ensuring structured progress through development phases.

todo_read

Read the current todo list for the workspace.

{}

Returns:

{
  "todos": [
    {
      "id": "abc123",
      "content": "Implement user authentication",
      "status": "in_progress",
      "metadata": {
        "custom_key": "custom_value"
      },
      "created_at": "2023-10-01T10:00:00Z",
      "updated_at": "2023-10-01T11:30:00Z"
    }
  ],
  "count": 1,
  "workspace": "/path/to/workspace"
}

todo_write

Replace the entire todo list for sequential execution workflow. Tasks are executed in array order, building upon previous work.

{
  "todos": [
    {
      "id": "task1",
      "content": "Set up database schema",
      "status": "pending"
    },
    {
      "id": "task2", 
      "content": "Create API endpoints",
      "status": "pending",
      "metadata": {
        "custom_key": "custom_value"
      }
    }
  ]
}

Sequential Workflow Rules:

• Each todo must have unique ID
• Only one task can be "in_progress" at a time (sequential execution)
• Tasks execute in array order - no priority system
• Required fields: id, content, status
• Status values: "pending", "in_progress", "completed"
• Workspace-first: Todo management is mandatory for all workspace operations

todo_update

Update a specific todo item by ID for sequential workflow progression.

{
  "todo_id": "task1",
  "updates": {
    "status": "in_progress",
    "metadata": {
        "new_key": "new_value"
    }
  }
}

Returns:

{
  "success": true,
  "updated_todo": {
    "id": "task1",
    "content": "Set up database schema",
    "status": "in_progress",
    "updated_at": "2023-10-01T12:00:00Z",
    "metadata": {
        "new_key": "new_value"
    }
  },
  "counts": {
    "pending": 1,
    "in_progress": 1,
    "completed": 0,
    "total": 2
  },
  "workspace": "/path/to/workspace"
}

The todo system maintains separate sequential task lists for each workspace, enforcing mandatory usage for all workspace operations. Tasks execute in order, building upon previous work without priority-based scheduling.

Configuration

Configuration file: `~/.skydeckai_code/config.json`

{
    "allowed_directory": "/path/to/workspace"
}

Debugging

Use MCP Inspector for debugging:

npx @modelcontextprotocol/inspector run

Security

• Operations restricted to configured allowed directory
• Path traversal prevention
• File permission preservation
• Safe operation handling

Upcoming Features

• GitHub tools:
• Pivotal Tracker tools:

Development Status

Currently in active development. Features and API may change.

License

Apache License 2.0 - see LICENSE