CompletionKit MCP Server
https://completionkit.com/mcp
Remote
v0.28.13
Published by completionkit.com — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 3 = 97. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 1
medium Unconstrained URL/host parameter "url" on "datasets_create_from_url"MTC-CAP-007
Tool "datasets_create_from_url" takes a URL/host parameter "url" with no allowlist/pattern. An outbound-request tool with an unbounded destination enables SSRF and cloud-metadata access (e.g. 169.254.169.254).
Fix: Allowlist destinations or constrain the parameter; block private/link-local addresses server-side.
Location: tool datasets_create_from_url · inputSchema.properties.url
Tools 50
Each tool and what it can reach — enumerated from the running server.
datasets_create_from_urlingests untrusted inputagreements_createno sensitive capabilityagreements_listno sensitive capabilitydatasets_createno sensitive capabilitydatasets_deleteno sensitive capabilitydatasets_getno sensitive capabilitydatasets_listno sensitive capabilitydatasets_updateno sensitive capabilityjudges_compareno sensitive capabilityjudges_replayno sensitive capability
Show 40 more tools ↓
metric_groups_createno sensitive capabilitymetric_groups_deleteno sensitive capabilitymetric_groups_getno sensitive capabilitymetric_groups_listno sensitive capabilitymetric_groups_updateno sensitive capabilitymetric_versions_dismissno sensitive capabilitymetric_versions_listno sensitive capabilitymetric_versions_publishno sensitive capabilitymetrics_createno sensitive capabilitymetrics_deleteno sensitive capabilitymetrics_getno sensitive capabilitymetrics_listno sensitive capabilitymetrics_suggest_variantsno sensitive capabilitymetrics_updateno sensitive capabilitypromptfoo_importno sensitive capabilityprompts_createno sensitive capabilityprompts_deleteno sensitive capabilityprompts_getno sensitive capabilityprompts_listno sensitive capabilityprompts_publishno sensitive capabilityprompts_suggest_improvementno sensitive capabilityprompts_updateno sensitive capabilityprovider_credentials_createno sensitive capabilityprovider_credentials_deleteno sensitive capabilityprovider_credentials_getno sensitive capabilityprovider_credentials_listno sensitive capabilityprovider_credentials_updateno sensitive capabilityresponses_getno sensitive capabilityresponses_listno sensitive capabilityruns_createno sensitive capabilityruns_deleteno sensitive capabilityruns_generateno sensitive capabilityruns_getno sensitive capabilityruns_listno sensitive capabilityruns_updateno sensitive capabilitytags_createno sensitive capabilitytags_deleteno sensitive capabilitytags_getno sensitive capabilitytags_listno sensitive capabilitytags_updateno sensitive capability
Versions 2
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.28.13 latest |
A 97/100 | 1 | 1.12.1 | 2026-07-28 |
v0.28.11 |
A 97/100 | 1 | 1.12.1 | 2026-07-27 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan https://completionkit.com/mcp --onlineMore in Data Science & ML
MCP server for 2s.io — 575+ pay-per-call tools for AI agents — ground-truth data, AI gateway, and agent infra (storage, locks, queues, watchers). x402 USDC on Base/Solana, no API keys, upto usage billing, free trials.
ArXiv preprints + Google Scholar papers, with citation counts in one query.
Add MCP servers to your favorite coding agents with a single command.
Model Context Protocol server for AI-Archive platform - enables AI agents to discover, submit, and review research papers
MCP server for Semantic Scholar research workflows with stdio and Streamable HTTP transports.
Experimental package — This module provides utilities to interact inside an MCP server