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CompletionKit

com.completionkit/evalsVersion 1.0.0

Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.

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Responds475 msAnswered our handshake without sign-in.

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Last checked
Nov 14, 2026, 13:52 UTC
Latency
475 ms
Remotes responding
1 of 1
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API key
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Hosted outside the EU (detected)
Registry data as of
Nov 14, 2026, 21:12 UTC

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Connect

Streamable HTTP
https://completionkit.com/mcpResponds475 ms
No sign-in

Claude Code

claude mcp add --transport http evals https://completionkit.com/mcp --header 'Authorization: Bearer <YOUR_TOKEN>'

Replace <YOUR_TOKEN> before running.

Claude Desktop and claude.ai

Settings > Connectors > Add custom connector
Name: evals
Remote MCP server URL: https://completionkit.com/mcp
This server expects the header Authorization.

Cursor

{
  "mcpServers": {
    "evals": {
      "url": "https://completionkit.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

Replace <YOUR_TOKEN> before running.

VS Code

code --add-mcp '{"name":"evals","type":"http","url":"https://completionkit.com/mcp","headers":{"Authorization":"Bearer <YOUR_TOKEN>"}}'

Replace <YOUR_TOKEN> before running.

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Tools

54 tools

Tools of CompletionKit
Read-only
Idempotent
Open world
agreements_createUpsert an agreement for (run, response, metric, created_by). Verdict is one of agree, disagree, borderline. corrected_score (1..5) is required when verdict is 'disagree'.Not declaredNot declaredNot declaredNot declared
agreements_listList agreements. Filter by run_id, response_id, metric_id, or created_by.Not declaredNot declaredNot declaredNot declared
datasets_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) given to the judge and to checks that compare against the row's expected value, and "actual_output" is a pre-made output to score in a prompt-less run. Both are overridable per run (expected_column / output_column). Every column is also available to the prompt as a variable.Not declaredNot declaredNot declaredNot declared
datasets_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 directly, so the data never has to pass through the tool-call arguments. The URL is SSRF-checked and the download is capped at 10MB. First row is the header; the "expected_output" (answer key) and "actual_output" (pre-made output) columns are recognized specially, overridable per run.Not declaredNot declaredNot declaredNot declared
datasets_deleteDelete a datasetNot declaredNot declaredNot declaredNot declared
datasets_getGet a dataset by IDNot declaredNot declaredNot declaredNot declared
datasets_listList all datasetsNot declaredNot declaredNot declaredNot declared
datasets_updateUpdate a datasetNot declaredNot declaredNot declaredNot declared
judges_compareCompare two versions of one metric's agreement stats side by side. Requires metric_id, metric_version_a_id, and metric_version_b_id (both versions must belong to that metric). Unavailable for check metrics.Not declaredNot declaredNot declaredNot declared
judges_replayCreate a scoring run for the current judge over a dataset's existing outputs (wraps runs_create with prompt_id omitted and output_column supplied). This only sets up the run; call runs_generate to actually re-judge the outputs so you can compare against human verdicts.Not declaredNot declaredNot declaredNot declared
metric_groups_createCreate a metric groupNot declaredNot declaredNot declaredNot declared
metric_groups_deleteDelete a metric groupNot declaredNot declaredNot declaredNot declared
metric_groups_getGet a metric group by IDNot declaredNot declaredNot declaredNot declared
metric_groups_listList all metric groupsNot declaredNot declaredNot declaredNot declared
metric_groups_updateUpdate a metric groupNot declaredNot declaredNot declaredNot declared
metric_versions_dismissDestroy a draft MetricVersion (use for either source: 'edit' or source: 'suggestion'). Published versions are refused. To demote a published version, publish a different one as current instead.Not declaredNot declaredNot declaredNot declared
metric_versions_listList every MetricVersion (drafts + published) for a metric, newest first. Each row carries version_number, state, source, current flag, and timestamps.Not declaredNot declaredNot declaredNot declared
metric_versions_publishPublish a MetricVersion as the live version of its metric. Works for both 'draft → published' and 'revert to an older published version → current'. Transactionally flips current, demotes peers, and writes the version's instruction + rubric_bands back onto the metric so the judge grades against it.Not declaredNot declaredNot declaredNot declared
metrics_createCreate a metric with evaluation criteria. For a deterministic check set metric_type:"check" and check_config. Per-kind required keys: value (contains/not_contains/equals/list_overlap/numeric_equals), pattern (regex), json_path+expected (json_path_equals), min and/or max (length_bounds/numeric_bounds); valid_json takes no extra keys. target_path is required when target is json_path; a target_path sent with no target sets target to json_path, and one sent with any other target is refused. target_path walks array indices, as in items.0.name; any path may start at the root with $., as in $.items.0.name. list_overlap grades a list-valued field and stores a fraction rather than a verdict: score_by is recall, precision, f1 or jaccard (recall by default), and min is the fraction that counts as a pass (1, a perfect score, by default). numeric_bounds and numeric_equals read a number, ignoring the thousands commas and currency symbol a figure is written with; a comma counts only as a thousands separator, with three digits after it and no decimal point before it, so 1,5 is not a number; numeric_equals takes a tolerance, either a plain number for a fixed amount or a percentage string such as 2% for a share of the expected value. A check with no case_sensitive matches case-insensitively, regex and list_overlap included; send case_sensitive: true to match case exactly. Before 0.29.0 a regex check read a missing case_sensitive as case-sensitive. Set compare_to:"expected" on contains, not_contains, equals, json_path_equals, list_overlap, numeric_equals to grade against each row's own expected_output (ground truth) instead of a constant; drop value (or expected, for json_path_equals) and add expected_path to dig into the answer key when it is JSON.Not declaredNot declaredNot declaredNot declared
metrics_deleteDelete a metricNot declaredNot declaredNot declaredNot declared
metrics_getGet a metric by IDNot declaredNot declaredNot declaredNot declared
metrics_listList all metricsNot declaredNot declaredNot declaredNot declared
metrics_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 source="suggestion". Returns the persisted drafts. Stripe-metering hooks fire via ActiveSupport::Notifications under completion_kit.judge_suggestion.generated.Not declaredNot declaredNot declaredNot declared
metrics_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/numeric_equals), pattern (regex), json_path+expected (json_path_equals), min and/or max (length_bounds/numeric_bounds); valid_json takes no extra keys. target_path is required when target is json_path; a target_path sent with no target sets target to json_path, and one sent with any other target is refused. target_path walks array indices, as in items.0.name; any path may start at the root with $., as in $.items.0.name. list_overlap grades a list-valued field and stores a fraction rather than a verdict: score_by is recall, precision, f1 or jaccard (recall by default), and min is the fraction that counts as a pass (1, a perfect score, by default). numeric_bounds and numeric_equals read a number, ignoring the thousands commas and currency symbol a figure is written with; a comma counts only as a thousands separator, with three digits after it and no decimal point before it, so 1,5 is not a number; numeric_equals takes a tolerance, either a plain number for a fixed amount or a percentage string such as 2% for a share of the expected value. A check with no case_sensitive matches case-insensitively, regex and list_overlap included; send case_sensitive: true to match case exactly. Before 0.29.0 a regex check read a missing case_sensitive as case-sensitive. Set compare_to:"expected" on contains, not_contains, equals, json_path_equals, list_overlap, numeric_equals to grade against each row's own expected_output (ground truth) instead of a constant; drop value (or expected, for json_path_equals) and add expected_path to dig into the answer key when it is JSON.Not declaredNot declaredNot declaredNot declared
promptfoo_importImport a promptfooconfig.yaml. Creates a prompt, a dataset from the test vars, and metrics from the assert blocks (llm-rubric/g-eval become judge metrics; contains/equals/regex/is-json become deterministic check metrics). Returns a summary of what mapped and what was skipped and why; nothing is dropped silently.Not declaredNot declaredNot declaredNot declared
prompts_createCreate a promptNot declaredNot declaredNot declaredNot declared
prompts_deleteDelete a promptNot declaredNot declaredNot declaredNot declared
prompts_getGet a prompt by IDNot declaredNot declaredNot declaredNot declared
prompts_listList all promptsNot declaredNot declaredNot declaredNot declared
prompts_publishPublish a prompt version, making it the current versionNot declaredNot declaredNot declaredNot declared
prompts_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 reasoning plus a rewritten template (preserving {{variables}}) and persists it as a Suggestion. Requires a run that has a prompt (not a scoring-only run).Not declaredNot declaredNot declaredNot declared
prompts_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 prompts_publish, so an agent's edits don't go live without a gate. If it has no runs, it is updated in place.Not declaredNot declaredNot declaredNot declared
provider_credentials_createCreate a provider credentialNot declaredNot declaredNot declaredNot declared
provider_credentials_deleteDelete a provider credentialNot declaredNot declaredNot declaredNot declared
provider_credentials_getGet a provider credential by ID (API key is not exposed)Not declaredNot declaredNot declaredNot declared
provider_credentials_listList all provider credentials (API keys are not exposed)Not declaredNot declaredNot declaredNot declared
provider_credentials_updateUpdate a provider credential. Changing provider or api_endpoint on a credential with a stored key requires api_key in the same call, so a stored key never moves to a new provider or endpoint.Not declaredNot declaredNot declaredNot declared
responses_getGet a specific responseNot declaredNot declaredNot declaredNot declared
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" to drop the bodies, "min_score"/"max_score" to isolate low scorers, and sort "score_asc" to read the worst rows first. For per-metric averages of the whole run use runs_get instead of aggregating here.Not declaredNot declaredNot declaredNot declared
runs_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.Not declaredNot declaredNot declaredNot declared
runs_deleteDelete a runNot declaredNot declaredNot declaredNot declared
runs_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 dataset column and grades it.Not declaredNot declaredNot declaredNot declared
runs_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 how many scored low. Use this to find the metric dragging a prompt down without listing responses.Not declaredNot declaredNot declaredNot declared
runs_listList all runsNot declaredNot declaredNot declaredNot declared
runs_regradeRe-grade a run's existing responses with its currently attached metrics, without regenerating. Use after attaching or editing metrics on an already-generated run.Not declaredNot declaredNot declaredNot declared
runs_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 mixing versions.Not declaredNot declaredNot declaredNot declared
runs_retry_failuresRe-run only the failed responses of a run, optionally limited to specific response ids via "only".Not declaredNot declaredNot declaredNot declared
runs_updateUpdate a runNot declaredNot declaredNot declaredNot declared
tags_createCreate a tag. Color is auto-assigned.Not declaredNot declaredNot declaredNot declared
tags_deleteDelete a tag. Removes the tag from every linked metric, prompt, run, and dataset.Not declaredNot declaredNot declaredNot declared
tags_getGet a tag by IDNot declaredNot declaredNot declaredNot declared
tags_listList all tagsNot declaredNot declaredNot declaredNot declared
tags_updateRename a tag.Not declaredNot declaredNot declaredNot declared
usage_getGet this organization's plan usage and limits for the current billing period: runs and prompt fetches used, their limits, how many remain, and when the period resets. Call this to pre-check quota before starting runs. Runs are hard-blocked once the run limit is reached (with a small grace band), so a run over the limit will fail with run_limit_reached.Not declaredNot declaredNot declaredNot declared

Details

Registry status
Active
Published
Jul 18, 2026
Updated
Jul 18, 2026
Categories (suggested)
Data and analyticsAI modelsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR
Not declared

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