The best way to deploy mcp server. A high-performance WebSocket/SSE transport layer & gateway for Anthropic's MCP (Model Context Protocol) — powered
The best way to deploy mcp server. A high-performance WebSocket/SSE transport layer & gateway for Anthropic's MCP (Model Context Protocol) — powered by Nginx
MCP lets AI assistants like Claude talk to external tools. But: - Native MCP is HTTP+SSE, which struggles with long tasks, network instability, and high concurrency - WebSockets aren’t natively supported by Claude — this project bridges the gap - Server-side logic in pure Python (like FastMCP) may not scale under load
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{
"mcpServers": {
"nchan-mcp-transport": {
"command": "uvx",
"args": ["httmcp"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Enables Large Language Models to interact with GraphQL APIs through schema introspection and query execution.
An MCP server that delivers crypto ETF flow data to power AI agents' decision-making.
Routing layer for AI agents. One call returns the best MCP server and LLM for any task — scored on 132 real benchmark executions.
4K AI image generation via NanoBanana Pro 2: Pro + Flash models, Google Search grounding