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LLM evals as MCP tools: score outputs for faithfulness, relevancy, and hallucination.
retriEVAL is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding retriEVAL to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm ghcr.io/hcarrillo001/retrieval-mcp:1.0.0Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-08-24T01:28:29.412844Z",
"publishedAt": "2026-08-24T01:28:29.412844Z",
"statusChangedAt": "2026-08-24T01:28:29.412844Z"
}
},
"server": {
"name": "io.github.hcarrillo001/retrieval-mcp",
"title": "retriEVAL",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.0.0",
"packages": [
{
"transport": {
"type": "stdio"
},
"identifier": "ghcr.io/hcarrillo001/retrieval-mcp:1.0.0",
"registryType": "oci",
"environmentVariables": [
{
"name": "ANTHROPIC_API_KEY",
"isSecret": true,
"description": "Judge model API key. Not needed if you set RETRIEVAL_JUDGE_BACKEND=ollama to run the judge locally."
},
{
"name": "RETRIEVAL_JUDGE_BACKEND",
"default": "anthropic",
"description": "Which judge to score with: anthropic (default), openai, or ollama for a fully local judge."
},
{
"name": "RETRIEVAL_JUDGE_MODEL",
"description": "Judge model id, e.g. claude-sonnet-4-6 or qwen2.5:14b for Ollama."
},
{
"name": "RETRIEVAL_BUDGET_USD",
"description": "Spend cap for judge calls. Unset means no cap."
}
]
}
],
"repository": {
"url": "https://github.com/hcarrillo001/retrieval-mcp",
"source": "github"
},
"websiteUrl": "https://retrieval-mcp.com",
"description": "LLM evals as MCP tools: score outputs for faithfulness, relevancy, and hallucination."
}
}