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CompletionKit

REMOTE · COMPLETIONKIT.COM · SCANNED AUG 3

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

+12 this week 73 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score →

Endpoint Security89
Transport & Reachability100
Schema Quality & AI Usability70
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 2982 tokens (~55/item across 54 items; 54 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
  • Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage70
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 9% of tool parameters carry a description.Partial
Capabilities40
  • Spec-recency check failed: implements MCP spec 2025-03-26; the latest is 2026-07-28. See how to fix → Fail
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · completionkit.com

# add to Claude Code
claude mcp add --transport http com-completionkit-evals https://completionkit.com/mcp
# ~/.codex/config.toml
[mcp_servers.com-completionkit-evals]
url = "https://completionkit.com/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-completionkit-evals": {
      "type": "remote",
      "url": "https://completionkit.com/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add com-completionkit-evals --url https://completionkit.com/mcp --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  com-completionkit-evals:
    url: "https://completionkit.com/mcp"
// mcp.json
{
  "mcpServers": {
    "com-completionkit-evals": {
      "type": "http",
      "url": "https://completionkit.com/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 1 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Jul 26 +6
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 29 Jul 26 +4
    • Schema quality: 2695 → 2982 functional
    • Schema quality: fair → good functional
    • Server version: 0.28.13 → 0.28.23 functional
    • New tool “runs_regrade” functional
    • New tool “runs_retry_failures” functional
    • New tool “usage_get” functional
    • New tool “runs_rerun” functional
    • “runs_update” added an optional parameter “metric_group_id” cosmetic
    • “runs_create” added an optional parameter “metric_group_id” cosmetic
  • 28 Jul 26 0
    • Server version: 0.28.11 → 0.28.13 functional
  • 27 Jul 26 +1
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Jul 26 60

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Probed https://completionkit.com/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=completionkit.com CN=WE1,O=Google Trust Services,C=US 9 Jul 2026 7 Oct 2026 ECDSA 256 ECDSA-SHA256 b6cb82af882a5e200e0493d81d773b45
SANs: completionkit.com
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b
DNSSEC insecure

Validation of completionkit.com. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
completionkit.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Challenged, unverified

The endpoint asked for a token, but we could not retrieve and validate the RFC 9728 metadata that tells a client how to obtain one.

Result Challenged, unverified
Enforced On tool calls
HTTP status 200
Header Value
strict-transport-security max-age=31556952; includeSubDomains; preload
x-content-type-options nosniff
x-frame-options SAMEORIGIN
referrer-policy strict-origin-when-cross-origin

Protected resource metadata

Retrieved No
Problem no_resource_metadata
Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://completionkit.com/mcp Verified 200
http (plaintext) http://completionkit.com/mcp HTTPS enforced 301 https://completionkit.com/mcp
MCP tools — 54 exposed · ~2,982 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
agreements_create ~103

Upsert 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'.

NameTypeReqDescription
corrected_scorenumber
created_bystring
metric_idintegeryes
notestring
response_idintegeryes
run_idintegeryes
verdictstringyes

No output schema declared.

No examples provided.

agreements_list ~58

List agreements. Filter by run_id, response_id, metric_id, or created_by.

NameTypeReqDescription
created_bystring
metric_idinteger
response_idinteger
run_idinteger

No output schema declared.

No examples provided.

datasets_create ~124

Create 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.

NameTypeReqDescription
csv_datastringyes
namestringyes
tag_namesarray

No output schema declared.

No examples provided.

datasets_create_from_url ~145

Create 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.

NameTypeReqDescription
namestringyes
tag_namesarray
urlstringyesPublic http(s) URL of the CSV file to download.

No output schema declared.

No examples provided.

datasets_delete ~19

Delete a dataset

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

datasets_get ~21

Get a dataset by ID

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

datasets_list ~12

List all datasets

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

datasets_update ~42

Update a dataset

NameTypeReqDescription
csv_datastring
idintegeryes
namestring
tag_namesarray

No output schema declared.

No examples provided.

judges_compare ~78

Compare 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.

NameTypeReqDescription
metric_idintegeryes
metric_version_a_idintegeryes
metric_version_b_idintegeryes

No output schema declared.

No examples provided.

judges_replay ~115

Create 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.

NameTypeReqDescription
dataset_idintegeryes
judge_modelstringyes
metric_idintegeryes
namestringyes
output_columnstringDataset column with the existing outputs to grade. Defaults to actual_output.

No output schema declared.

No examples provided.

metric_groups_create ~44

Create a metric group

NameTypeReqDescription
descriptionstring
metric_idsarray
namestringyes
tag_namesarray

No output schema declared.

No examples provided.

metric_groups_delete ~21

Delete a metric group

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

metric_groups_get ~23

Get a metric group by ID

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

metric_groups_list ~14

List all metric groups

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

metric_groups_update ~51

Update a metric group

NameTypeReqDescription
descriptionstring
idintegeryes
metric_idsarray
namestring
tag_namesarray

No output schema declared.

No examples provided.

metric_versions_dismiss ~60

Destroy 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.

NameTypeReqDescription
metric_version_idintegeryes

No output schema declared.

No examples provided.

metric_versions_list ~50

List every MetricVersion (drafts + published) for a metric, newest first. Each row carries version_number, state, source, current flag, and timestamps.

NameTypeReqDescription
metric_idintegeryes

No output schema declared.

No examples provided.

metric_versions_publish ~80

Publish 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.

NameTypeReqDescription
metric_version_idintegeryes

No output schema declared.

No examples provided.

metrics_create ~178

Create 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), pattern (regex), json_path+expected (json_path_equals), min and/or max (length_bounds); valid_json takes no extra keys. target_path is required when target is json_path. For contains, not_contains, and equals, set compare_to:"expected" to grade against each row's own expected_output (ground truth) instead of a constant value (drop value); add expected_path to dig into the expected value when it is JSON.

NameTypeReqDescription
check_configobject
instructionstring
metric_typestring
namestringyes
rubric_bandsarray
tag_namesarray

No output schema declared.

No examples provided.

metrics_delete ~19

Delete a metric

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

metrics_get ~21

Get a metric by ID

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

metrics_list ~12

List all metrics

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

metrics_suggest_variants ~134

Ask 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.

NameTypeReqDescription
countintegerHow many variants to request (default 1, max 3). One focused rewrite beats five reworded copies.
metric_idintegeryes
modelstringOverride the model used to generate variants. Defaults to the configured judge model or an available judging model.

No output schema declared.

No examples provided.

metrics_update ~182

Update a metric. For a deterministic check set metric_type:"check" and check_config. Per-kind required keys: value (contains/not_contains/equals), pattern (regex), json_path+expected (json_path_equals), min and/or max (length_bounds); valid_json takes no extra keys. target_path is required when target is json_path. For contains, not_contains, and equals, set compare_to:"expected" to grade against each row's own expected_output (ground truth) instead of a constant value (drop value); add expected_path to dig into the expected value when it is JSON.

NameTypeReqDescription
check_configobject
idintegeryes
instructionstring
metric_typestring
namestring
rubric_bandsarray
tag_namesarray

No output schema declared.

No examples provided.

promptfoo_import ~92

Import 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.

NameTypeReqDescription
configstringyesThe full promptfooconfig.yaml contents.

No output schema declared.

No examples provided.

prompts_create ~50

Create a prompt

NameTypeReqDescription
descriptionstring
llm_modelstringyes
namestringyes
tag_namesarray
templatestringyes

No output schema declared.

No examples provided.

prompts_delete ~19

Delete a prompt

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

prompts_get ~23

Get a prompt by ID

NameTypeReqDescription
idintegeryesPrompt ID

No output schema declared.

No examples provided.

prompts_list ~12

List all prompts

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

prompts_publish ~26

Publish a prompt version, making it the current version

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

prompts_suggest_improvement ~94

Suggest 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).

NameTypeReqDescription
run_idintegeryesThe run whose results ground the improvement.

No output schema declared.

No examples provided.

prompts_update ~113

Update 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.

NameTypeReqDescription
descriptionstring
idintegeryes
llm_modelstring
namestring
tag_namesarray
templatestring

No output schema declared.

No examples provided.

provider_credentials_create ~45

Create a provider credential

NameTypeReqDescription
api_endpointstring
api_keystringyes
api_versionstring
providerstringyes

No output schema declared.

No examples provided.

provider_credentials_delete ~21

Delete a provider credential

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

provider_credentials_get ~29

Get a provider credential by ID (API key is not exposed)

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

provider_credentials_list ~20

List all provider credentials (API keys are not exposed)

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

provider_credentials_update ~52

Update a provider credential

NameTypeReqDescription
api_endpointstring
api_keystring
api_versionstring
idintegeryes
providerstring

No output schema declared.

No examples provided.

responses_get ~28

Get a specific response

NameTypeReqDescription
idintegeryes
run_idintegeryes

No output schema declared.

No examples provided.

responses_list ~22

List responses for a run

NameTypeReqDescription
run_idintegeryes

No output schema declared.

No examples provided.

runs_create ~178

Create 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.

NameTypeReqDescription
dataset_idinteger
expected_columnstringDataset column holding each row's answer key / ground truth, graded by checks with compare_to "expected" and passed to the judge; defaults to "expected_output".
judge_modelstring
metric_group_idintegerAttach the metrics belonging to this metric group (its current metric_ids). Ignored when metric_ids is also given.
metric_idsarray
namestringyes
output_columnstringDataset column to grade when prompt_id is omitted; defaults to "actual_output".
prompt_idinteger
tag_namesarray

No output schema declared.

No examples provided.

runs_delete ~19

Delete a run

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

runs_generate ~52

Start 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.

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

runs_get ~21

Get a run by ID

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

runs_list ~12

List all runs

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

runs_regrade ~45

Re-grade a run's existing responses with its currently attached metrics, without regenerating. Use after attaching or editing metrics on an already-generated run.

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

runs_rerun ~54

Create 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.

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.

runs_retry_failures ~44

Re-run only the failed responses of a run, optionally limited to specific response ids via "only".

NameTypeReqDescription
idintegeryes
onlyarray

No output schema declared.

No examples provided.

runs_update ~104

Update a run

NameTypeReqDescription
dataset_idinteger
expected_columnstring
idintegeryes
judge_modelstring
metric_group_idintegerReplace the run's metrics with those belonging to this metric group. Ignored when metric_ids is also given.
metric_idsarray
namestring
output_columnstring
tag_namesarray

No output schema declared.

No examples provided.

tags_create ~25

Create a tag. Color is auto-assigned.

NameTypeReqDescription
namestringyes

No output schema declared.

No examples provided.

tags_delete ~34

Delete a tag. Removes the tag from every linked metric, prompt, run, and dataset.

NameTypeReqDescription
idintegeryes

No output schema declared.

No examples provided.