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🎨 **Tool Palette System** - Created palette system for organizing development tools by ecosystem - Pre-defined palettes: Python (Guido), Ruby (Matz), JavaScript, Go, Rust, DevOps, Full Stack, Minimal - `palette` tool to list, activate, and manage tool sets - Environment variables applied from active palette - Keeps MCP interface clean while supporting specialized workflows 🔧 **Unified Process Tools with OO Design** - Refactored all process execution to use clean base class hierarchy - `BaseProcessTool`, `BaseBinaryTool`, `BaseScriptTool` for consistent interface - Unified `bash`, `npx`, `uvx` tools with action-based approach (run/background) - `process` tool for managing background processes - All tools use same execution pipeline internally 🐚 **Smart Shell Detection** - Shell tool now detects user's preferred shell from $SHELL environment - Automatically uses zsh if .zshrc exists (perfect for your setup\!) - Falls back to bash if no special configuration found - All zsh aliases, functions, and configurations now available in MCP 🚀 **Development Mode with Hot Reload** - Added `--dev` flag to hanzo-mcp CLI for development mode - File watching with automatic reload detection using watchdog - `hanzo-mcp-dev` command for dedicated dev server - Watches Python files and config changes - Debounced reloading to prevent spam 🛠️ **New Tools Added** - `open`: Opens files/URLs in default application (platform-aware) - `watch`: Monitors files/directories for changes with pattern matching - `diff`: Compares files with unified/context diff formats - `config`: Git-style configuration management 📚 **Documentation & Infrastructure** - Comprehensive Sphinx documentation with black theme - Automated deployment to mcp.hanzo.ai via Cloudflare Pages - GitHub Actions workflow for docs deployment - 25+ documentation pages organized by category ⚙️ **Configuration Improvements** - Tool enable/disable system with palette override - Per-project vs global indexing configuration - Environment variable management through palettes - Clean separation of concerns in tool registration This release provides a much cleaner, more extensible architecture while maintaining backward compatibility. The palette system makes it easy to switch between development environments, and the unified process tools eliminate code duplication while providing consistent behavior. Co-authored-by: Hanzo Dev <[email protected]>
155 lines
4.7 KiB
Python
155 lines
4.7 KiB
Python
"""Write file tool implementation.
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This module provides the Write tool for creating or overwriting files.
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"""
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from pathlib import Path
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from typing import Annotated, TypedDict, Unpack, final, override
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from mcp.server.fastmcp import Context as MCPContext
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from mcp.server import FastMCP
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from pydantic import Field
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from hanzo_mcp.tools.filesystem.base import FilesystemBaseTool
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FilePath = Annotated[
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str,
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Field(
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description="The absolute path to the file to write (must be absolute, not relative)",
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min_length=1,
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),
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]
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Content = Annotated[
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str,
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Field(
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description="The content to write to the file",
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min_length=1,
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),
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]
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class WriteToolParams(TypedDict):
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"""Parameters for the Write tool.
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Attributes:
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file_path: The absolute path to the file to write (must be absolute, not relative)
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content: The content to write to the file
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"""
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file_path: FilePath
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content: Content
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@final
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class Write(FilesystemBaseTool):
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"""Tool for writing file contents."""
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@property
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@override
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def name(self) -> str:
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"""Get the tool name.
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Returns:
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Tool name
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"""
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return "write"
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@property
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@override
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def description(self) -> str:
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"""Get the tool description.
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Returns:
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Tool description
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"""
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return """Writes a file to the local filesystem.
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Usage:
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- This tool will overwrite the existing file if there is one at the provided path.
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- If this is an existing file, you MUST use the Read tool first to read the file's contents. This tool will fail if you did not read the file first.
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- ALWAYS prefer editing existing files in the codebase. NEVER write new files unless explicitly required.
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- NEVER proactively create documentation files (*.md) or README files. Only create documentation files if explicitly requested by the User."""
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@override
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async def call(
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self,
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ctx: MCPContext,
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**params: Unpack[WriteToolParams],
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) -> str:
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"""Execute the tool with the given parameters.
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Args:
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ctx: MCP context
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**params: Tool parameters
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Returns:
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Tool result
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"""
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tool_ctx = self.create_tool_context(ctx)
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self.set_tool_context_info(tool_ctx)
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# Extract parameters
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file_path: FilePath = params["file_path"]
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content: Content = params["content"]
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# Validate parameters
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path_validation = self.validate_path(file_path)
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if path_validation.is_error:
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await tool_ctx.error(path_validation.error_message)
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return f"Error: {path_validation.error_message}"
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await tool_ctx.info(f"Writing file: {file_path}")
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# Check if file is allowed to be written
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allowed, error_msg = await self.check_path_allowed(file_path, tool_ctx)
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if not allowed:
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return error_msg
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# Additional check already verified by is_path_allowed above
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await tool_ctx.info(f"Writing file: {file_path}")
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try:
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path_obj = Path(file_path)
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# Check if parent directory is allowed
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parent_dir = str(path_obj.parent)
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if not self.is_path_allowed(parent_dir):
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await tool_ctx.error(f"Parent directory not allowed: {parent_dir}")
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return f"Error: Parent directory not allowed: {parent_dir}"
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# Create parent directories if they don't exist
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path_obj.parent.mkdir(parents=True, exist_ok=True)
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# Write the file
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with open(path_obj, "w", encoding="utf-8") as f:
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f.write(content)
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await tool_ctx.info(
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f"Successfully wrote file: {file_path} ({len(content)} bytes)"
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)
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return f"Successfully wrote file: {file_path} ({len(content)} bytes)"
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except Exception as e:
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await tool_ctx.error(f"Error writing file: {str(e)}")
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return f"Error writing file: {str(e)}"
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@override
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def register(self, mcp_server: FastMCP) -> None:
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"""Register this tool with the MCP server.
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Creates a wrapper function with explicitly defined parameters that match
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the tool's parameter schema and registers it with the MCP server.
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Args:
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mcp_server: The FastMCP server instance
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"""
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tool_self = self # Create a reference to self for use in the closure
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@mcp_server.tool(name=self.name, description=self.description)
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async def write(
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file_path: FilePath,
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content: Content,
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ctx: MCPContext
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) -> str:
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return await tool_self.call(ctx, file_path=file_path, content=content)
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