AiDD MCP Server

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 pip
pip install 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 SkyDeck AI Helper app, you can search for "SkyDeckAI Code" and install it.

SkyDeck AI Helper App

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 (26)

Category	Tool Name	Description
File System	`get_allowed_directory`	Get the current working directory path
	`update_allowed_directory`	Change the working directory
	`create_directory`	Create a new directory or nested directories
	`write_file`	Create or overwrite a file with new content
	`edit_file`	Make line-based edits to a text file
	`read_file`	Read the contents of one or more files
	`list_directory`	Get listing of files and directories
	`move_file`	Move or rename a file or directory
	`copy_file`	Copy a file or directory to a new location
	`search_files`	Search for files matching a name pattern
	`delete_file`	Delete a file or empty directory
	`get_file_info`	Get detailed file metadata
	`directory_tree`	Get a recursive tree view of directories
	`read_image_file`	Read an image file as base64 data
Code Tools	`codebase_mapper`	Analyze code structure across files
	`search_code`	Find text patterns in code files
	`execute_code`	Run code in various languages
	`execute_shell_script`	Run shell/bash scripts
Web Tools	`web_fetch`	Get content from a URL
	`web_search`	Perform a web search
Screen Tools	`capture_screenshot`	Take a screenshot of screen or window
	`get_active_apps`	List running applications
	`get_available_windows`	List all open windows
System	`get_system_info`	Get detailed system information
Utility	`batch_tools`	Run multiple tool operations together
	`think`	Document reasoning without making changes

Detailed Tool Documentation

Basic File Operations

Tool	Parameters	Returns
read_file	files: [{path: string, offset?: integer, limit?: integer}]	File content (single or multiple files)
write_file	path: string, content: string	Success confirmation
move_file	source: string, destination: string	Success confirmation
copy_file	source: string, destination: string, recursive?: boolean	Success confirmation
delete_file	path: string	Success confirmation
get_file_info	path: string	File metadata (size, timestamps, permissions)

CLI Usage:

# Read entire file
skydeckai-code-cli --tool read_file --args '{"files": [{"path": "src/main.py"}]}'

# Read 10 lines starting from line 20
skydeckai-code-cli --tool read_file --args '{"files": [{"path": "src/main.py", "offset": 20, "limit": 10}]}'

# Read from line 50 to the end of the file
skydeckai-code-cli --tool read_file --args '{"files": [{"path": "src/main.py", "offset": 50}]}'

# Read multiple files with different line ranges
skydeckai-code-cli --tool read_file --args '{"files": [
  {"path": "src/main.py", "offset": 1, "limit": 10},
  {"path": "README.md"}
]}'

# Write file
skydeckai-code-cli --tool write_file --args '{"path": "output.txt", "content": "Hello World"}'

# Copy file or directory
skydeckai-code-cli --tool copy_file --args '{"source": "config.json", "destination": "config.backup.json"}'

# Get file info
skydeckai-code-cli --tool get_file_info --args '{"path": "src/main.py"}'

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

Tool	Parameters	Returns
get_allowed_directory	none	Current allowed directory path
update_allowed_directory	directory: string (absolute path)	Success confirmation
list_directory	path: string	Directory contents list
create_directory	path: string	Success confirmation
search_files	pattern: string, path?: string, include_hidden?: boolean	Matching files list

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.

CLI Usage:

# List directory
skydeckai-code-cli --tool list_directory --args '{"path": "."}'

# Search for Python files
skydeckai-code-cli --tool search_files --args '{"pattern": ".py", "path": "src"}'

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)

CLI Usage:

# Map the entire codebase structure
skydeckai-code-cli --tool codebase_mapper --args '{"path": "."}'

# Map only the source directory
skydeckai-code-cli --tool codebase_mapper --args '{"path": "src"}'

# Map a specific component or module
skydeckai-code-cli --tool codebase_mapper --args '{"path": "src/components"}'

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:

Parameter	Type	Required	Description
patterns	array of strings	Yes	List of regular expression patterns to search for in file contents
include	string	No	File pattern to include (glob syntax, default: "*")
exclude	string	No	File pattern to exclude (glob syntax, default: "")
max_results	integer	No	Maximum results to return per pattern (default: 100)
case_sensitive	boolean	No	Whether search is case-sensitive (default: false)
path	string	No	Base directory to search from (default: ".")

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.

CLI Usage:

# Find function and class declarations in JavaScript files
skydeckai-code-cli --tool search_code --args '{
    "patterns": ["function\\s+\\w+", "class\\s+\\w+"],
    "include": "*.js"
}'

# Find all console.log statements with errors or warnings
skydeckai-code-cli --tool search_code --args '{
    "patterns": ["console\\.log.*[eE]rror", "console\\.log.*[wW]arning"],
    "path": "src"
}'

# Find import and export statements in TypeScript files
skydeckai-code-cli --tool search_code --args '{
    "patterns": ["import.*from", "export.*"],
    "include": "*.{ts,tsx}",
    "exclude": "node_modules/**"
}'

System Information

Tool	Parameters	Returns
get_system_info	none	Comprehensive system details

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.

CLI Usage:

# Get system information
skydeckai-code-cli --tool get_system_info

Screen Context and Image Tools

get_active_apps

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

{
    "with_details": true
}

Parameters:

Parameter	Type	Required	Description
with_details	boolean	No	Whether to include additional details about each application (default: false)

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:

Parameter	Type	Required	Description
output_path	string	No	Path where the screenshot should be saved (default: generated path)
capture_mode	object	No	Specifies what to capture
capture_mode.type	string	No	Type of screenshot: 'full', 'active_window', or 'named_window' (default: 'full')
capture_mode.window_name	string	No	Name of window to capture (required when type is 'named_window')

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:

Parameter	Type	Required	Description
path	string	Yes	Path to the image file to read
max_size	integer	No	Maximum file size in bytes (default: 100MB)

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:

Parameter	Type	Required	Description
url	string	Yes	URL to fetch content from (http/https only)
headers	object	No	Optional HTTP headers to include in the request
timeout	integer	No	Maximum time to wait for response (default: 10s)
save_to_file	string	No	Path to save response content (within allowed directory)
convert_html_to_markdown	boolean	No	When true, converts HTML content to markdown for better readability (default: true)

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.

CLI Usage:

# Fetch JSON from an API
skydeckai-code-cli --tool web_fetch --args '{
    "url": "https://api.github.com/users/octocat",
    "headers": {"Accept": "application/json"}
}'

# Download content to a file
skydeckai-code-cli --tool web_fetch --args '{
    "url": "https://github.com/github/github-mcp-server/blob/main/README.md",
    "save_to_file": "downloads/readme.md"
}'

# Fetch a webpage and convert to markdown for better readability
skydeckai-code-cli --tool web_fetch --args '{
    "url": "https://example.com",
    "convert_html_to_markdown": true
}'

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:

Parameter	Type	Required	Description
query	string	Yes	The search query to process. Be specific for better results.
num_results	integer	No	Maximum number of search results to return (default: 10, max: 20)
convert_html_to_markdown	boolean	No	When true, content will be converted from HTML to markdown for better readability (default: true)
search_engine	string	No	Specifies which search engine to use: "auto" (default), "bing", or "duckduckgo"

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.

CLI Usage:

# Search with default settings (auto engine selection)
skydeckai-code-cli --tool web_search --args '{
    "query": "latest python release features"
}'

# Try DuckDuckGo if you want alternative results
skydeckai-code-cli --tool web_search --args '{
    "query": "machine learning frameworks comparison",
    "search_engine": "duckduckgo"
}'

# Use Bing for reliable results
skydeckai-code-cli --tool web_search --args '{
    "query": "best programming practices 2023",
    "search_engine": "bing"
}'

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:

Parameter	Type	Required	Description
description	string	Yes	Short description of the batch operation
sequential	boolean	No	Whether to run tools in sequence (default: false)
invocations	array	Yes	List of tool invocations to execute
invocations[].tool	string	Yes	Name of the tool to invoke
invocations[].arguments	object	Yes	Arguments for the specified tool

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:

Use paths relative to the current working directory (e.g., "project/src" rather than just "src"), or
Include an explicit tool invocation to change directories using update_allowed_directory

CLI Usage:

# Setup a new project with multiple steps in sequential order (using proper paths)
skydeckai-code-cli --tool batch_tools --args '{
    "description": "Setup new project",
    "sequential": true,
    "invocations": [
        {"tool": "create_directory", "arguments": {"path": "project"}},
        {"tool": "create_directory", "arguments": {"path": "project/src"}},
        {"tool": "write_file", "arguments": {"path": "project/README.md", "content": "# Project\n\nA new project."}}
    ]
}'

# Create nested structure using relative paths (without changing directory)
skydeckai-code-cli --tool batch_tools --args '{
    "description": "Create project structure",
    "sequential": true,
    "invocations": [
        {"tool": "create_directory", "arguments": {"path": "project/src"}},
        {"tool": "create_directory", "arguments": {"path": "project/docs"}},
        {"tool": "write_file", "arguments": {"path": "project/README.md", "content": "# Project"}}
    ]
}'

# Gather system information and take a screenshot (tasks can run in parallel)
skydeckai-code-cli --tool batch_tools --args '{
    "description": "System diagnostics",
    "sequential": false,
    "invocations": [
        {"tool": "get_system_info", "arguments": {}},
        {"tool": "capture_screenshot", "arguments": {
            "output_path": "diagnostics/screen.png",
            "capture_mode": {
                "type": "full"
            }
        }}
    ]
}'

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:

Parameter	Type	Required	Description
thought	string	Yes	Your detailed thoughts, analysis or reasoning process

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.

CLI Usage:

# Analyze a bug and plan a fix
skydeckai-code-cli --tool think --args '{
    "thought": "# Bug Analysis\n\n## Observed Behavior\nThe login endpoint returns a 500 error when email contains Unicode characters.\n\n## Root Cause\nThe database adapter is not properly encoding Unicode strings before constructing the SQL query.\n\n## Potential Fixes\n1. Update the database adapter to use parameterized queries\n2. Add input validation to reject Unicode in emails\n3. Encode email input manually before database operations\n\nFix #1 is the best approach as it solves the core issue and improves security."
}'

# Evaluate design alternatives
skydeckai-code-cli --tool think --args '{
    "thought": "# API Design Options\n\n## REST vs GraphQL\nFor this use case, GraphQL would provide more flexible data fetching but adds complexity. REST is simpler and sufficient for our current needs.\n\n## Authentication Methods\nJWT-based authentication offers stateless operation and better scalability compared to session-based auth.\n\nRecommendation: Use REST with JWT authentication for the initial implementation."
}'

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:

Parameter	Type	Required	Description
language	string	Yes	Programming language to use
code	string	Yes	Code to execute
timeout	integer	No	Maximum execution time (default: 5s)

CLI Usage:

# Python example
skydeckai-code-cli --tool execute_code --args '{
    "language": "python",
    "code": "print(sum(range(10)))"
}'

# JavaScript example
skydeckai-code-cli --tool execute_code --args '{
    "language": "javascript",
    "code": "console.log(Array.from({length: 5}, (_, i) => i*2))"
}'

# Ruby example
skydeckai-code-cli --tool execute_code --args '{
    "language": "ruby",
    "code": "puts (1..5).reduce(:+)"
}'

# Go example
skydeckai-code-cli --tool execute_code --args '{
    "language": "go",
    "code": "fmt.Println(\"Hello, Go!\")"
}'

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:

Review code thoroughly before execution
Understand the code's purpose and expected outcome
Never execute untrusted code
Be aware of potential system impacts
Monitor execution output

execute_shell_script

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

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

Parameters:

Parameter	Type	Required	Description
script	string	Yes	Shell script to execute
timeout	integer	No	Maximum execution time (default: 300s, max: 600s)

CLI Usage:

# List directory contents with details
skydeckai-code-cli --tool execute_shell_script --args '{
    "script": "ls -la"
}'

# Find all Python files recursively
skydeckai-code-cli --tool execute_shell_script --args '{
    "script": "find . -name \"*.py\" -type f"
}'

# Complex script with multiple commands
skydeckai-code-cli --tool execute_shell_script --args '{
    "script": "echo \"System Info:\" && uname -a && echo \"\nDisk Usage:\" && df -h"
}'

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:

Review the script thoroughly before execution
Understand the script's purpose and expected outcome
Never execute untrusted scripts
Be aware of potential system impacts
Monitor execution output

Configuration

Configuration file: ~/.skydeckai_code/config.json

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

CLI Usage

Basic command structure:

skydeckai-code-cli --tool <tool_name> --args '<json_arguments>'

# List available tools
skydeckai-code-cli --list-tools

# Enable debug output
skydeckai-code-cli --debug --tool <tool_name> --args '<json_arguments>'

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:
- PR Description Generator
- Code Review
- Actions Manager
Pivotal Tracker tools:
- Story Generator
- Story Manager

Development Status

Currently in active development. Features and API may change.

License

Apache License 2.0 - see LICENSE

You must be authenticated.

security – no known vulnerabilities

license - permissive license

quality - confirmed to work

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Tools

View all tools

AiDD MCP Server provides a secure interface for AI agents to perform file system operations and code analysis, enhancing AI-assisted development workflows across multiple programming languages.

Formerly Known As MCP-Server-AIDD

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Reddit Discussion about this server

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SkyDeckAI Code

Formerly Known As MCP-Server-AIDD

Installation

Claude Desktop Setup

SkyDeck AI Helper App

Key Features

Available Tools (26)

Detailed Tool Documentation

Basic File Operations

Complex File Operations

edit_file

Directory Operations

directory_tree

Code Analysis

codebase_mapper

search_code

System Information

Screen Context and Image Tools

get_active_apps

get_available_windows

capture_screenshot

read_image_file

Web Tools

web_fetch

web_search

Utility Tools

batch_tools

think

Code Execution

execute_code

execute_shell_script

Configuration

CLI Usage

Debugging

Security

Upcoming Features

Development Status

License

Tools

Related Resources

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MCP Claude Code

Lilith Shell

code2prompt-mcp

Vibe Coder MCP

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