Desktop Extensions: One-click local MCP server installation in desktop apps
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Mcpb is an MCP server that desktop Extensions: One-click local MCP server installation in desktop apps. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 89/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"mcpb": {
"args": [
"-y",
"@anthropic-ai/mcpb"
],
"command": "npx"
}
}
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⚠️ IMPORTANT NOTICE: This project is being renamed from DXT (Desktop Extensions) to MCPB (MCP Bundles) > If you're looking for the DXT tools, they have been renamed to MCPB. Please update your dependencies and tooling: > - .dxt files are now .mcpb files > - @anthropic-ai/dxt package will be moved to @anthropic-ai/mcpb
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@anthropic-ai/mcpb' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
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Prompt Template for AI ToolsA prompt template for AI tools like Claude Code to create MCP bundles following the MCPB specification, including steps to read specifications, create proper bundle structure, follow best practices, and test considerations
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⚠️ IMPORTANT NOTICE: This project is being renamed from DXT (Desktop Extensions) to MCPB (MCP Bundles)
If you're looking for the DXT tools, they have been renamed to MCPB. Please update your dependencies and tooling:
dxtCLI is nowmcpb.dxtfiles are now.mcpbfiles@anthropic-ai/dxtpackage will be moved to@anthropic-ai/mcpb
MCP Bundles (.mcpb) are zip archives containing a local MCP server and a manifest.json that describes the server and its capabilities. The format is spiritually similar to Chrome extensions (.crx) or VS Code extensions (.vsix), enabling end users to install local MCP servers with a single click.
This repository provides three components: The bundle specification in MANIFEST.md, a CLI tool for creating bundles (see CLI.md), and the code used by Claude for macOS and Windows to load and verify MCPB bundles (src/index.ts).
Claude for macOS and Windows uses the code in this repository to enable single-click installation of local MCP servers, including a number of end user-friendly features - such as automatic updates, easy configuration of MCP servers and the variables and parameters they need, and a curated directory. We are committed to the open ecosystem around MCP servers and believe that its ability to be universally adopted by multiple applications and services has benefits developers aiming to connect AI tools to other apps and services. Consequently, we're open-sourcing the MCP Bundle specification, toolchain, and the schemas and key functions used by Claude for macOS and Windows to implement its own support of MCP Bundles. It is our hope that the mcpb format doesn't just make local MCP servers more portable for Claude, but other AI desktop applications, too.
At the core, MCPB are simple zip files containing your entire MCP server and a manifest.json. Consequently, turning a local MCP server into a bundle is straightforward: You just have to put all your required files in a folder, create a manifest.json, and then create an archive.
To make this process easier, this package offers a CLI that helps you with the creation of both the manifest.json and the final .mcpb file. To install it, run:
npm install -g @anthropic-ai/mcpb
mcpb init. This command will guide you through the creation of a manifest.json.mcpb pack to create a mcpb file.You can find the full spec for the manifest.json and all its mandatory and optional fields in MANIFEST.md. Examples for bundles can be found in examples.
AI tools like Claude Code are particularly good at creating MCP bundles when informed about the spec. When prompting an AI coding tool to build a bundle, briefly explain what your bundle aims to do - then add the following context to your instructions.
I want to build this as a MCP Bundle, abbreviated as "MCPB". Please follow these steps:
- Read the specifications thoroughly:
- https://github.com/anthropics/mcpb/blob/main/README.md - MCPB architecture overview, capabilities, and integration patterns
- https://github.com/anthropics/mcpb/blob/main/MANIFEST.md - Complete bundle manifest structure and field definitions
- https://github.com/anthropics/mcpb/tree/main/examples - Reference implementations including a "Hello World" example
- Create a proper bundle structure:
- Generate a valid manifest.json f