Contents

• Official Resources
• Community
• Contributing
• Extensions by Category
  • Development Tools
  • Command Line
  • File Management
  • System Tools
  • Web Services
  • Messaging
  • Databases
  • Analytics
  • AI Systems
  • MCP Tools
  • API Integrations
  • Data Analysis
  • Knowledge Base
  • Media Creation
  • Productivity
  • Professional Apps
  • Finance
  • examples
• Development Tools
• Packaging & Management Tools
• Documentation & Tutorials

Official Resources

• Desktop Extensions Announcement - Official blog post
• DXT Specification - Open-source toolchain and specs
• Submission Form - Submit to official directory
• Official examples - Official examples

Community

• r/dxt Reddit
• Discord

☕ Support

If you find this project helpful, please consider starring!

Contributing

This list is community-maintained. See CONTRIBUTING.md for guidelines. Or translate plan

Extensions by Category

All extensions are located in the servers folder, each organized by owner/repo, and containing a manifest.json and user_config.json. If the manifest.json is verified by the community, a verified.json file will also be included.

Real world ${__dirname} examples

If you have any disconnect issue check the manifest.json at these useful repos, python and nodejs

• taylorwilsdon/google_workspace_mcp - Full natural language control over Google Calendar, Drive, Gmail, Docs, Sheets, Slides, Forms, Tasks and Chat through all MCP clients, AI assistants and developer tools

"mcp_config": {
  "command": "uv",
  "args": [
    "run",
    "--directory",
    "${__dirname}",
    "python",
    "${__dirname}/main.py"
  ]
}

• bgauryy/octocode-mcp - GitHub code search and npm package exploration MCP server

Development Tools

• chrome-applescript - Browser automation via AppleScript
• Flux159/mcp-server-kubernetes - Connect to Kubernetes cluster and manage pods, deployments, and services.
• modelcontextprotocol/gitlab - GitLab API, enabling project management
• modelcontextprotocol/git - Tools to read, search, and manipulate Git repositories
• bazinga012/mcp_code_executor - An MCP server that allows LLMs to execute Python code within a specified Conda environment.
• mem0ai/mem0-mcp - A Model Context Protocol server for Mem0, which helps with managing coding preferences.
• modelcontextprotocol/github - Repository management, file operations, and GitHub API integration
• snaggle-ai/openapi-mcp-server - Interact with OpenAPI APIs.
• semgrep/mcp - An MCP server for using Semgrep to scan code for security vulnerabilies. Secure your vibe coding!
• manusa/kubernetes-mcp-server - A powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for any Kubernetes resource, this server provides specialized tools to interact with your cluster.
• pathintegral-institute/mcp.science - A secure sandboxed Python code execution environment for MCP (Model-Client-Program) architecture.
• MindscapeHQ/mcp-server-raygun - MCP Server for Raygun's API V3 endpoints for interacting with your Crash Reporting and Real User Monitoring applications. This server provides comprehensive access to Raygun's API features through the Model Context Protocol.
• baryhuang/mcp-server-any-openapi - Interact with large OpenAPI docs using built-in semantic search for endpoints. Allows for customizing the MCP server prefix.
• yanmxa/multicluster-mcp-server - The gateway for GenAI systems to interact with multiple Kubernetes clusters.
• leonardsellem/n8n-mcp-server - This MCP server provides tools and resources for AI assistants to manage n8n workflows and executions, including listing, creating, updating, and deleting workflows, as well as monitoring their execution status.
• hannesj/mcp-openapi-schema - Allow LLMs to explore large OpenAPI schemas without bloating the context.
• ShenghaiWang/xcodebuild - 🍎 Build iOS Xcode workspace/project and feed back errors to llm.
• cyberchitta/llm-context.py - Provides a repo-packing MCP tool with configurable profiles that specify file inclusion/exclusion patterns and optional prompts.
• lingodotdev/lingo.dev - The Model Context Protocol (MCP) is a standard for connecting Large Language Models (LLMs) to external services. This guide will walk you through how to connect AI tools to Lingo.dev using MCP.
• modelcontextprotocol/sentry - Retrieving and analyzing issues from Sentry.io
• apimatic/apimatic-validator-mcp - This repository provides a Model Context Protocol (MCP) Server for validating OpenAPI specifications using APIMatic. The server processes OpenAPI files and returns validation summaries by leveraging APIMatic’s API.
• riza-io/riza-mcp - Riza offers an isolated code interpreter for your LLM-generated code.
• Boston343/starwind-ui-mcp - This MCP provides relevant commands, documentation, and other information to allow LLMs to take full advantage of Starwind UI's open source Astro components.
• cloudflare/mcp-server-cloudflare - Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Cloudflare's API.
• its-dart/dart-mcp-server - Dart MCP Server
• agentrpc/agentrpc - > Universal RPC layer for AI agents across network boundaries and languages
• yangkyeongmo/mcp-server-apache-airflow - A MCP Server that connects to Apache Airflow using official python client.
• pydantic/logfire-mcp - This repository contains a Model Context Protocol (MCP) server with tools