mcp-cocktail

asavs/mcp-cocktail

★ 0 stars Python AI/LLM Updated today

Multi-arm evaluation and self-healing guardrails for MCP servers & CLIs

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-cocktail": {
      "command": "uvx",
      "args": [
        "mcp-cocktail"
      ]
    }
  }
}

Or install with pip: pip install mcp-cocktail

README Excerpt

A domain-agnostic, Recursive Self-Improvement (RSI) framework for benchmarking, evaluating, and injecting real-time guardrails across competing MCP servers, CLIs, and AI agent tools. When software vendors take months or years to release official Model Context Protocol (MCP) servers or command-line tools, open-source communities fill the vacuum with unofficial MCPs, wrappers, and CLIs. This fragmentation leads to competing tools ("arms") with varying degrees of stability, silent failures, and tra

Topics

benchmarkingcliguardrailsllm-evalmcprsisubagents

mcp-cocktail

Quick Install

README Excerpt

Topics

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