com.completionkit/evals
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Publisher-provided title
CompletionKit
Publisher-provided description
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
Summary by lookupd
Runs prompts over datasets, scores outputs with an LLM judge or deterministic checks, and manages datasets, prompts, metrics, and runs.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http evals https://completionkit.com/mcp
Codex, remote (streamable-http)
codex mcp add evals --url https://completionkit.com/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"evals": {
"url": "https://completionkit.com/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (showing 30 of 54)
Publisher-provided text
prompts_listList all promptsprompts_getGet a prompt by IDprompts_createCreate a promptprompts_updateUpdate a prompt. If the prompt already has runs, this creates a new DRAFT version (current=false) rather than editing in place or publishing. Promote it with prprompts_deleteDelete a promptprompts_publishPublish a prompt version, making it the current versionprompts_suggest_improvementSuggest an improved version of a prompt, grounded in a run's test results and judge feedback. Analyzes the run's responses, scores, and reviews, then returns reruns_listList all runsruns_getGet a run by ID, including "metric_averages": a per-metric breakdown with each metric's average score (or pass rate for checks), how many rows it graded, and horuns_createCreate a run. Omit prompt_id and provide output_column to score existing outputs by grading a pre-existing dataset column instead of generating new ones.runs_updateUpdate a runruns_deleteDelete a runruns_generateStart a run. Required for every run, including score-only runs (no prompt): generates responses with the prompt when there is one, otherwise copies the graded druns_regradeRe-grade a run's existing responses with its currently attached metrics, without regenerating. Use after attaching or editing metrics on an already-generated ruruns_rerunCreate and start a fresh copy of a run with the same prompt, dataset, metrics, and settings. Use when the judge changed and you want a clean run instead of mixiruns_retry_failuresRe-run only the failed responses of a run, optionally limited to specific response ids via "only".responses_listList responses for a run, in row order. Returns {total, limit, offset, returned, responses}. Defaults to 50 rows because full payloads are large: use "fields" tresponses_getGet a specific responsedatasets_listList all datasetsdatasets_getGet a dataset by IDdatasets_createCreate a dataset with CSV data. First row is the header. Two column names are recognized specially: "expected_output" is each row's answer key (ground truth) gidatasets_updateUpdate a datasetdatasets_deleteDelete a datasetdatasets_create_from_urlCreate a dataset by downloading CSV from a URL instead of inlining it. Use this for large datasets: pass a public http(s) URL and the server fetches the CSV dirmetrics_listList all metricsmetrics_getGet a metric by IDmetrics_createCreate a metric with evaluation criteria. For a deterministic check set metric_type:"check" and check_config. Per-kind required keys: value (contains/not_contaimetrics_updateUpdate a metric. For a deterministic check set metric_type:"check" and check_config. Per-kind required keys: value (contains/not_contains/equals/list_overlap/numetrics_deleteDelete a metricmetrics_suggest_variantsAsk the model to rewrite the metric's judge instruction in N variants targeted at the recent disagreements. Each variant is saved as a draft MetricVersion with
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 394 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/homemade-software-inc/completion-kit
- Website: https://completionkit.com
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