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Verlon AI MCP

NPM · @VERLON-AI/MCP · SCANNED AUG 3

Inspect and manage Verlon AI gates, logs, recommendations, and experiments from any MCP client.

Available components

npm · @verlon-ai/mcp 76
+52 this week 76 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security87
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (98 of 102), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (98 of 102), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency97
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to verlon-ai/mcp). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 7 days ago).Pass
  • Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability75
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 451 tokens (~75/item across 6 items; 6 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 Coverage67
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
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.

npm · @verlon-ai/mcp

# add to Claude Code
claude mcp add ai-verlon-mcp -- npx -y @verlon-ai/mcp
# add to Codex CLI
codex mcp add ai-verlon-mcp -- npx -y @verlon-ai/mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-verlon-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@verlon-ai/mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ai-verlon-mcp --command npx --arg -y --arg @verlon-ai/mcp
# ~/.hermes/config.yaml
mcp_servers:
  ai-verlon-mcp:
    command: "npx"
    args: ["-y", "@verlon-ai/mcp"]
// mcp.json
{
  "mcpServers": {
    "ai-verlon-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@verlon-ai/mcp"
      ]
    }
  }
}
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.

  • 2 Aug 26 +58
    • Install scripts: unverified → pass ▲ security
    • Provenance: unverified → pass ▲ security
    • Known CVEs: unverified → partial ▲ security
    • Malware scan: unverified → pass ▲ security
    • The attested source repository moved: verlon-ai/mcp security
    • License: unverified → pass ▲ functional
    • Dependency health: unverified → partial ▲ functional
    • Maintenance: unverified → pass ▲ functional
    • MCP protocol: unverified → pass ▲ functional
    • Stability: unverified → 0.23 ▲ functional
    • Schema quality: unverified → good ▲ functional
    • Licence: MIT functional
  • 31 Jul 26 +10
    • 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 −16
    • Tool coverage: 100 → unverified ▼ functional
    • Dependency health: unverified → partial ▲ functional
    • First check of Schema quality: unverified functional
  • 27 Jul 26 24

    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 · Analysed npm/@verlon-ai/[email protected]

Provenance verified

Ecosystem: npm · Outcome: verified

Reason: verified

Source repo:
verlon-ai/mcp
Certificate issuer:
https://token.actions.githubusercontent.com
Certificate SAN:
https://github.com/verlon-ai/mcp/.github/workflows/publish.yml@refs/tags/v0.4.0
Rekor log index:
2256333634
Predicate type:
https://slsa.dev/provenance/v1
Subject digest:
sha512:0bdabe053786ade2dd1571d4fa82b812a8c40c751aea739852d815ddf0483ca03d315eeda0559902c17d5997c28f589aadebb5458398a7aa9a31cf061
Discovery method:
attestation_endpoint
Dependencies 98 packages

98 packages in the resolved dependency tree · 96 deprecated · 29 stale · 2 without a linked repository.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 6 exposed · ~451 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
get_gate ~57

Fetch the full configuration of a specific Verlon AI gate by its UUID. Returns model, fallback chain, task type, spending limits, sub-gates, and orchestration settings as JSON. Read-only.

NameTypeReqDescription
gateIdstringyes—

No output schema declared.

No examples provided.

get_recommendations ~72

Fetch Cortex's intelligence report for a specific Verlon AI gate: themes observed in recent sessions, drift detection, and actionable optimization recommendations. Returns `{ report: null }` when no run has been produced yet (typically a brand-new gate with no traffic). Read-only.

NameTypeReqDescription
gateIdstringyes—

No output schema declared.

No examples provided.

list_experiments ~109

List experiments (shadow + split tests) in the authenticated Verlon AI account. Optional filters: `gateId` (restrict to one gate), `status` (e.g. `running`, `completed`, `draft`), `projectId`. Returns each experiment's id, name, status, test type, variants, goal metric, and configuration as JSON. Read-only.

NameTypeReqDescription
gateIdstring——
projectIdstring——
statusstring——

No output schema declared.

No examples provided.

list_gates ~48

List all gates in the authenticated Verlon AI account. Each gate's summary (id, name, description, primary model, task type, creation date) is returned as JSON. Read-only.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_logs ~103

List recent request logs across the authenticated account. Returns timestamp, gate, model, cost, latency, success/failure, and request id for each log row. Optional filters: gate (UUID or name), since (ISO 8601), success (true/false), limit (1-100, default 20). Read-only.

NameTypeReqDescription
gatestring——
limitinteger——
sincestring——
successboolean——

No output schema declared.

No examples provided.

list_models ~62

List the chat models a Verlon gate can route to, with live pricing (USD per 1M tokens) and capability scores. Optionally filter by provider (openai, anthropic, google, mistral). Read-only.

NameTypeReqDescription
providerstring——

No output schema declared.

No examples provided.