
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

eiliyaabedini/aider-mcp
MyMCP is a Python application that enables parallel execution of multiple AI coding tasks using the Aider tool. It provides a framework for running multiple coding prompts simultaneously, improving efficiency and reducing execution time.
{
"mcpServers": {
"server": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"/Users/path/to/aider_mcp.py"
]
}
}
}AIDER_MODELParallel Execution: Run multiple AI coding tasks simultaneously for faster results
Sequential Execution: Option to run tasks sequentially when needed
Detailed Reporting: Get comprehensive reports on task execution, including success/failure status and implementation details
MCP Integration: Built on the Model Context Protocol (MCP) for standardized AI model interactions
Performance Metrics: Compare parallel vs. sequential execution times
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

microsoft/playwright
Playwright is a framework for web automation and testing. It drives Chromium, Firefox, and WebKit with a single API — in your tests, in your scripts, and as a tool for AI agents.

yamadashy/repomix
Repomix is a tool that packs a codebase into an AI-friendly format, supporting local and remote repository processing and providing code compression, security checks and multiple output formats.

bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).

ahujasid/blender-mcp
formerly blender-mcp — the PyPI package is now mcp-for-blender. Existing setups keep working; no config change is required. Read more.

microsoft/playwright-mcp
A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

comet-ml/opik
Opik is the open-source LLM observability and evaluation platform for AI agent tracing, LLM evaluation, prompt management, and production monitoring. Built by Comet. Apache-2.0 licensed, free to self-host the full platform, with 20,000+ GitHub stars.