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jinyalong/mcpproxy
The MCP SSE Proxy Server is a Server-Sent Events (SSE) based Model Context Protocol (MCP) proxy server that enables remote execution of MCP servers using the standard MCP protocol. It supports both shared and independent session modes.
docker run -d \MCP_SERVER_CONFIGAUTH_KEYSHARED_SESSIONModel Context Protocol (MCP) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.
SSE long connection support for server push
JSON-RPC 2.0 message format support
Both shared and independent session modes
Dynamic session environment configuration via request parameters
Automatic connection keep-alive (30-second heartbeat)
Complete error handling and logging
Built-in support for NPX and UVX STDIO process deployment
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.