3 #llm-evaluation MCP Servers & Clients
Every MCP server and client below is tagged #llm-evaluation — install one to give Claude, Cursor, VS Code, or any other MCP-compatible client access to llm-evaluation tools.
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Pqs Prompt Quality Score
OnChainAIIntel
The world's first named AI prompt quality score. Score any LLM prompt before it hits any model — returns grade (A-F), score out of 40, percentile, and dimension breakdown across 8 quality dimensions.
Atla MCP Server
spisupat
Initial version of an mcp server for agents to interact with atla's models
Conkurrence
AlligatorC0der
Conkurrence measures whether multiple AI models produce consistent outputs on your evaluation tasks. It tells you which items your AI agrees on and which need human review — using Fleiss' κ, Kendall's W, and bootstrap confidence intervals, the same psychometric methods trusted in
Frequently asked questions
What is a #llm-evaluation MCP server?
- An MCP server tagged #llm-evaluation implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access llm-evaluation-related tools, data, or APIs.
How many #llm-evaluation MCP servers and clients are there?
- mcp.so currently lists 3 MCP servers and clients tagged #llm-evaluation.
How do I install a #llm-evaluation MCP server?
- Open any server below and copy its install snippet into Claude Desktop, Cursor, VS Code, or another MCP client's configuration — remote servers need no separate download.