What is Zed File Context Server

The zed-file-context-server is an extension of the mcedit tool, designed to provide a Model Context Protocol server for file operations, specifically for use with the Zed AI assistant.

Use cases

Use cases include editing code files, analyzing project structures for better AI suggestions, applying AI-generated edits, and managing files and directories in a secure manner.

How to use

To use the zed-file-context-server, install it via Cargo with ‘cargo install mcedit’, and then utilize the slash commands available in the Assistant Panel to perform various file operations.

Key features

Key features include universal file editing for any text-based files, MCP server capabilities for AI access, project analysis for context enhancement, fast processing powered by Rust, diff generation for change visualization, and built-in safety with automatic backups.

Where to use

The zed-file-context-server can be used in software development environments, AI-assisted coding, and any scenario where file manipulation and analysis are required.

mcedit: Model Context Protocol File Editor

⚠️ This project is experimental. Features may change without notice. Use with caution! ⚠️

mcedit is a powerful command-line tool that enables AI assistants to edit files and analyze projects through the Model Context Protocol (MCP). It provides a secure bridge between AI models and your local filesystem.

🎮 Demo

See mcedit in action with Claude Desktop:

• Reading and writing any text file
• Analyzing project structures
• Searching and modifying file content
• Creating and managing files and directories
• Applying suggested edits from AI models

🎉 Latest Release

The first stable release of mcedit (v0.1.1) is now available on Crates.io! You can easily install it using Cargo:

cargo install mcedit

Features

• 📝 Universal File Editing
  Works with any text-based files in any programming language or format.

• 📄 MCP Server Capabilities
  Runs as a Model Context Protocol server, allowing AI assistants to safely access and modify your files.

• 🔍 Project Analysis
  Analyzes project structure to provide AI assistants with better context for suggestions.

• ⚡️ Blazing Fast
  High-speed processing powered by the Rust ecosystem.

• 🔄 Diff Generation
  Creates and applies diffs to visualize and control changes.

• 🛡️ Built-in Safety
  Automatic backups before modifications and strict path validation for security.

Installation

From Source

# Clone the repository
git clone https://github.com/yourusername/mcedit
cd mcedit

# Build and install
cargo install --path .

From Crates.io

cargo install mcedit

Requirements

• Rust (edition 2021)
• Claude Desktop or any MCP-compatible AI assistant

Zed File Context Server

This extension provides a Model Context Server for file operations, for use with the Zed AI assistant.

It adds several slash commands to the Assistant Panel to help you work with files and analyze projects.

Configuration

To use the extension, you can optionally set a project directory in your Zed settings.json:

{
  "context_servers": {
    "file-context-server": {
      "settings": {
        "project_directory": "/path/to/your/project"
      }
    }
  }
}

If no project directory is specified, the current working directory will be used.

Usage

$ mcedit --help
✨ A CLI tool for smart file editing with AI assistance through the Model Context Protocol (MCP).

Usage: mcedit [OPTIONS] [COMMAND]

Commands:
  mcp       Launch mcedit as an MCP server
  edit      Edit a file with the given content
  list      List files in the project
  analyze   Analyze the project structure
  search    Search for text in project files
  help      Print this message or the help of the given subcommand(s)

Options:
  -c, --config <PATH>    Path to the configuration file
  -d, --dir <PATH>       Project directory to work with
  -V, --version          Print version
  -h, --help             Print help

Integrating with Claude Desktop

To use mcedit with Claude Desktop:

1. If you haven’t already, install mcedit:

cargo install mcedit

2. Find the path to your installed mcedit executable:

which mcedit

3. Add the following configuration to ~/Library/Application\ Support/Claude/claude_desktop_config.json:

4. Restart Claude Desktop and enable the mcedit tool.

5. mcedit will automatically create a sample README.md file in ~/project if no project exists, ensuring Claude can start working with files right away.

Logs and Troubleshooting

The mcedit server logs are available at:

~/Library/Logs/Claude/mcp-server-mcedit.log

Environment Variables

• PROJECT_DIR: Set this to specify your project directory. If not set, mcedit will use the directory provided by command line arguments, configuration files, or fall back to ~/project. You can also change the project directory at runtime using the change_directory tool.
• MCEDIT_LOG_LEVEL: Set to debug, info, warn, or error to control logging verbosity.

Security Considerations

When using mcedit, please be aware of the following security considerations:

• mcedit creates automatic backups before modifying files
• Path validation prevents access to files outside the specified project directory
• Review code changes suggested by AI before applying them
• Sensitive information in your files might be accessible to AI assistants

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Attribution

This project is derived from tfmcp, originally developed by nwiizo, under the MIT License.

License

This project is licensed under the MIT License - see the LICENSE file for details.