3 tagged llm-eval, measured the same way as everything else here.
homemade-software-inc/completion-kit
MCP server Claude CodeCodexCursor +2
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge. Remote server at completionkit.com.
MCP server Claude CodeCodexCursor
Score any AI for trust across 10 dimensions; evaluate, monitor & govern LLMs and agents. Runs locally from the @trustmodel/mcp-server npm package. Needs 2 environment variables to run.
MCP server Claude CodeCodexCursor +2
MCP server "mcp-cocktail" as configured in asavs/mcp-cocktail. Runs locally from the mcp-cocktail Python package.