A
licenseNot graded
qualityD
maintenanceEnables multi-AI collaborative analysis by proxying requests to existing login-based MCP servers (Gemini CLI and Codex CLI) from Claude Desktop or Claude Code.
MIT
llmsproxy
by danielckv
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@llmsproxyexplain the transformer architecture"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@llmsproxy/mcp-server
The Model Context Protocol server for llmsproxy.ai. It connects Claude Desktop, Cursor, Cline, Zed, and any other MCP client to your llmsproxy.ai account, exposing chat, coding, and retrieval capabilities as MCP tools, resources, and prompts.
You bring an llms_live_… API key from your llmsproxy.ai
dashboard; this server speaks JSON-RPC 2.0 over stdio and forwards your requests
to the gateway.
Install
The quickest path is the hosted installer, which configures Claude Desktop for you:
curl -fsSL https://llmsproxy.ai/mcp/install.sh | bashOr wire it into any MCP client manually:
{
"mcpServers": {
"llmsproxy": {
"command": "npx",
"args": ["-y", "@llmsproxy/mcp-server"],
"env": {
"LLMSPROXY_API_KEY": "llms_live_...",
"LLMSPROXY_BASE_URL": "https://api.llmsproxy.ai/v1"
}
}
}
}Related MCP server: mcp-server-demo
Configuration
Environment variable | Required | Description |
| yes | Your |
| no | Gateway API root. Defaults to |
Supported platforms
darwin-arm64, darwin-x64, linux-arm64, linux-x64, win32-x64.
The package ships a small Node shim that selects and runs the prebuilt binary for your platform — installed automatically as an optional dependency. No build step, no network access at install time, no postinstall scripts.
Support
Documentation: https://llmsproxy.ai
Email: contact@llmsproxy.ai
License
This server cannot be deployed
Maintenance
ActivityNo data
ResponsivenessNo issues
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