file-systemsdeveloper-tools

AiDD (Dev Workflows)

skydeckai

by skydeckai

AiDD integrates AI in software development with advanced code analysis, Git, and execution, creating superior AI program

Integrates file system, code analysis, Git, and execution capabilities to enable AI-driven development workflows across multiple programming languages.

github stars

3

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Tree-sitter integration for code analysisLine-based file editing preserves existing contentMulti-language programming support

best for

  • / AI-assisted software development and coding
  • / Project file organization and management
  • / Code refactoring and maintenance workflows
  • / Multi-language development environments

capabilities

  • / Read and write files with full content control
  • / Edit specific lines in files without overwriting
  • / Create and manage directories and project structures
  • / Search for files by name patterns across directories
  • / Move, copy, and organize files and folders
  • / Switch between different project workspaces

what it does

Provides comprehensive file system operations and development tools for AI-assisted coding workflows. Enables reading, writing, editing files, directory management, and code analysis across multiple programming languages.

about

AiDD (Dev Workflows) is a community-built MCP server published by skydeckai that provides AI assistants with tools and capabilities via the Model Context Protocol. AiDD integrates AI in software development with advanced code analysis, Git, and execution, creating superior AI program It is categorized under file systems, developer tools. This server exposes 29 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install AiDD (Dev Workflows) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

Apache-2.0

AiDD (Dev Workflows) is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

33:T433,Build a structural map of source code files in a directory. This tool analyzes code structure to identify classes, functions, and methods. WHEN TO USE: When you need to understand the structure of a codebase, discover classes and functions across multiple files, identify inheritance relationships, or get a high-level overview of code organization without reading every file individually. WHEN NOT TO USE: When you need to search for specific text patterns (use search_files instead), when you need to analyze a single known file (use read_file instead), or when you're working with non-code files. SUPPORTED LANGUAGES: Python (.py), JavaScript (.js/.jsx), TypeScript (.ts/.tsx), Java (.java), C++ (.cpp), Ruby (.rb), Go (.go), Rust (.rs), PHP (.php), C# (.cs), Kotlin (.kt). RETURNS: A text-based tree structure showing classes and functions in the codebase, along with statistics about found elements. Only analyzes files within the allowed directory. Example: Enter '.' to analyze all source files in current directory, or 'src' to analyze all files in the src directory.34:T4e1,Execute multiple tool invocations in parallel or serially. WHEN TO USE: When you need to run multiple operations efficiently in a single request, combine related operations, or gather results from different tools. Useful for bulk operations, coordinated tasks, or performing multiple queries simultaneously. WHEN NOT TO USE: When operations need to be performed strictly in sequence where each step depends on the previous step's result, when performing simple operations that don't benefit from batching, or when you need fine-grained error handling. RETURNS: Results from all tool invocations grouped together. Each result includes the tool name and its output. If any individual tool fails, its error is included but other tools continue execution. Parallelizable tools are executed concurrently for performance. Each tool's output is presented in a structured format along with the description you provided. IMPORTANT NOTE: 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 or include an explicit tool invocation to change directories (e.g., update_allowed_directory).35:T426,Capture a screenshot of the current screen and save it to a file. This tool allows capturing the entire screen, the active window, or a specific named window. The screenshot will be saved to the specified output path or to a default location if not provided. WHEN TO USE: When you need to visually document what's on screen, capture a specific application window, create visual references for troubleshooting, or gather visual information about the user's environment. Useful for documenting issues, creating tutorials, or assisting with visual tasks. WHEN NOT TO USE: When you need information about windows without capturing them (use get_available_windows instead). RETURNS: A JSON object containing success status, file path where the screenshot was saved, and a message. On failure, includes a detailed error message. If debug mode is enabled, also includes debug information about the attempted capture. Windows can be captured in the background without bringing them to the front. Works on macOS, Windows, and Linux with platform-specific implementations.36:T41f,Get detailed system information about the host computer. WHEN TO USE: When you need to understand the system environment, diagnose performance issues, verify hardware specifications, check resource availability, or determine the operating environment for compatibility reasons. Useful for system analysis, troubleshooting, environment verification, and providing context-aware assistance. WHEN NOT TO USE: When you only need the current working directory (use get_allowed_directory instead), when specific file information is needed (use get_file_info instead), or when you need to interact with applications rather than system information (use get_active_apps instead). RETURNS

FAQ

What is the AiDD (Dev Workflows) MCP server?
AiDD (Dev Workflows) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for AiDD (Dev Workflows)?
This profile displays 54 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Code & Document Analysis

Read, analyze, and understand files in your project

Example

Summarize README, analyze code structure, find TODO comments across codebase

Navigate large codebases 5x faster, understand projects quickly

Automated File Operations

Create, move, rename, and organize files based on natural language instructions

Example

Organize downloads by file type, rename files following convention, batch process images

Save hours on manual file organization

Content Search & Extraction

Search files for patterns, extract data, find information across directories

Example

Find all config files with API keys, extract emails from documents, search logs for errors

Find information instantly instead of manual grep/find

File Generation & Templates

Generate boilerplate files, apply templates, create project structures

Example

Create React component with tests and styles, generate OpenAPI spec, scaffold new project

Eliminate repetitive file creation work

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • File system permissions for directories you want to access
  • Understanding of file paths and directory structure
  • Backup of important files before bulk operations

Time Estimate

10-20 minutes including configuration

Installation Steps

  1. 1.Install filesystem MCP server (often built-in with Claude Desktop)
  2. 2.Configure allowed directories in MCP config for security
  3. 3.Test read: 'Show me contents of ~/Documents/test.txt'
  4. 4.Test write: 'Create a new file notes.md in current directory'
  5. 5.Test search: 'Find all .js files containing TODO'
  6. 6.Test batch operations: 'Rename all .jpeg files to .jpg'
  7. 7.Verify file permissions and access controls

Troubleshooting

  • Permission denied: Check file/directory permissions, run with appropriate user
  • Path not found: Verify path is absolute or relative to working directory
  • MCP server can't access directory: Add to allowed directories in config
  • File already exists: Use overwrite flag or check before writing
  • Operation failed: Check disk space, file locks, antivirus interference

Best Practices

✓ Do

  • +Configure allowed directories explicitly—don't grant full filesystem access
  • +Back up important files before bulk operations
  • +Use dry-run mode for risky operations when available
  • +Validate file paths before operations
  • +Set appropriate file permissions on created files
  • +Log file operations for audit trail
  • +Test operations on sample files first

✗ Don't

  • Don't grant MCP access to system directories (/etc, /System)
  • Don't allow write access to production config files
  • Don't skip backup before bulk delete/move operations
  • Don't use for sensitive files (passwords, keys) without encryption
  • Don't ignore file permission errors—investigate root cause
  • Don't expose personal documents without considering privacy

💡 Pro Tips

  • Use .gitignore patterns to exclude sensitive files from AI access
  • Create sandboxed working directory for file experiments
  • Combine with version control (git) for easy rollback
  • Use file watching for real-time monitoring and reactions
  • Create templates for common file generation tasks
  • Leverage file metadata (timestamps, size) for smart organization

Technical Details

Architecture

MCP server provides file I/O operations (read, write, search, metadata) as tools Claude can invoke with natural language instructions.

Protocols

  • Local file system API
  • Glob patterns for search
  • File streams for large files

Compatibility

  • macOS
  • Linux
  • Windows
  • Local files only (no remote filesystems by default)

When to Use This

✓ Use When

Use for code analysis, file organization, content search, template generation, and automating repetitive file operations. Best for local development workflows.

✗ Avoid When

Avoid for system-critical files, sensitive credentials, production environments, or when file integrity is paramount. Don't use on files you can't afford to lose.

Integration

  • Combine with git for version-controlled file operations
  • Integrate with code editors for seamless workflow
  • Use with backup tools for safety net
  • Pair with file watchers for automated reactions

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.754 reviews
  • Pratham Ware· Dec 28, 2024

    Strong directory entry: AiDD (Dev Workflows) surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Ava Kapoor· Dec 24, 2024

    Strong directory entry: AiDD (Dev Workflows) surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Nikhil Flores· Dec 24, 2024

    According to our notes, AiDD (Dev Workflows) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Diya Harris· Dec 16, 2024

    AiDD (Dev Workflows) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Charlotte Ndlovu· Dec 12, 2024

    We evaluated AiDD (Dev Workflows) against two servers with overlapping tools; this profile had the clearer scope statement.

  • James Thomas· Dec 8, 2024

    Useful MCP listing: AiDD (Dev Workflows) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Chaitanya Patil· Dec 4, 2024

    AiDD (Dev Workflows) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Soo Garcia· Nov 27, 2024

    AiDD (Dev Workflows) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Piyush G· Nov 23, 2024

    Useful MCP listing: AiDD (Dev Workflows) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • James Bansal· Nov 15, 2024

    AiDD (Dev Workflows) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

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