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- Add detailed introduction explaining Hatch's core value proposition
- Expand supported MCP hosts section with all platform targets
- Enhance quick start with practical examples for environment and package creation
- Add package-first deployment workflow with recommended best practices
- Include direct configuration examples for advanced use cases
- Reorganize documentation links for better discoverability
- Add contributing quick start for developers
- Improve getting help section with troubleshooting references
Hatch is the package manager for the Cracking Shells ecosystem, designed specifically for managing Model Context Protocol (MCP) servers. It handles complex dependency resolution across system packages, Python packages, Docker containers, and other Hatch packages — all in isolated environments.
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## Introduction
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Hatch is the package manager for managing Model Context Protocol (MCP) servers with environment isolation, multi-type dependency resolution, and multi-host deployment. Deploy MCP servers to Claude Desktop, VS Code, Cursor, and other platforms with automatic dependency management.
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The canonical documentation is at `docs/index.md` and published at <https://hatch.readthedocs.io/en/latest/>.
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## Quick start
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## Key Features
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-**Environment Isolation** — Create separate, isolated workspaces for different projects without conflicts
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-**Multi-Type Dependency Resolution** — Automatically resolve and install system packages, Python packages, Docker containers, and Hatch packages
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-**Multi-Host Deployment** — Deploy MCP servers to Claude Desktop, Claude Code, VS Code, Cursor, LM Studio, and Google Gemini CLI
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-**Package Validation** — Ensure packages meet schema requirements before distribution
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-**Development-Focused** — Optimized for rapid development and testing of MCP server ecosystems
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## Supported MCP Hosts
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Hatch supports deployment to the following MCP host platforms:
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-**Claude Desktop** — Anthropic's desktop application for Claude with native MCP support
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-**Claude Code** — Claude integration for VS Code with MCP capabilities
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-**VS Code** — Visual Studio Code with the MCP extension for tool integration
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-**Cursor** — AI-first code editor with built-in MCP server support
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-**LM Studio** — Local LLM inference platform with MCP server integration
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-**Google Gemini CLI** — Command-line interface for Google's Gemini model with MCP support
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