Eval_MCP

AyushSaha184/Eval_MCP

★ 1 stars Go AI/LLM Updated today

An MCP server that offers 15 specialized tools to evaluate and improve the accuracy of RAG based systems.

View on GitHub → 🔍 Audit Wallet Slippage →

Quick Install

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

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "eval_mcp": {
      "command": "go",
      "args": [
        "run",
        "github.com/AyushSaha184/Eval_MCP@latest"
      ]
    }
  }
}

README Excerpt

`Eval_MCP` is a high-performance, single-binary Model Context Protocol (MCP) server for prompt evaluation and RAG pipeline scoring, built natively in **Go**. --- - **Single Standalone Binary**: Compiles to a single executable (`eval-mcp`) with zero runtime dependencies. - **16 Native MCP Tools**: Full suite for dataset registration, prompt evaluations, RAG scoring, version comparisons, regression detection, and prompt-fix suggestions.

Topics

mcp-servermcp-tools

Eval_MCP

Quick Install

README Excerpt

Topics

Related AI/LLM Servers