Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, get in touch and we’ll put it right.

Verlon AI MCP

NPM · @VERLON-AI/MCP · SCANNED SEP 20

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

Available components

+15 this week 90 Trust /100
Trust breakdown (7 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 → Why this is hard to score →

Supply Chain Security98
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • 33 of 99 dependencies flagged as unhealthy. 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 6 days ago).Pass
  • Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability76
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 465 tokens (~77/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 Management87
  • Stability observed for 26 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
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the Verlon AI MCP server?

Verlon AI MCP runs locally as an npm package, launched with npx -y @verlon-ai/mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · @verlon-ai/mcp

# add to Claude Code
claude mcp add ai-verlon-mcp -- npx -y @verlon-ai/mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "ai-verlon-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@verlon-ai/mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "ai-verlon-mcp": {
      "command": "npx",
      "args": [
        "-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"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "ai-verlon-mcp": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "@verlon-ai/mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add ai-verlon-mcp -t stdio -c npx -a -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.

  • 20 Sept 26 +1
    • Security disclosure: unverified → fail functional
  • 19 Sept 26 0
    • Security disclosure: fail → unverified functional
    • Package version: 0.4.0 → 0.4.1 functional
  • 18 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 17 Sept 26 +1
    • Stability: 0.97 → pass security
  • 15 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

  • 14 Sept 26 +15
    • Malware scan: unverified → pass security
  • 13 Sept 26 −14
    • Malware scan: pass → unverified security
    • Package version: 0.4.0 → 0.4.1 functional
  • 11 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

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 20 Sept 2026 · Analysed npm/@verlon-ai/mcp@0.4.1

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem npm
Reason Verified
Discovered via Registry attestation endpoint
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/v0.4.1
Rekor log index 2814064602
Predicate type https://slsa.dev/provenance/v1
Subject digest sha512:2bbf961dfae46ccf0495eb2f475e2f329289d2d91ac17c916ad99dcb9bee6cf66fdce1a24ece7a34b9eb8448878de91300e29c14eaf0174c27a2ee2ee

Background: How many MCP packages publish verified provenance →

Dependencies 99 packages
Packages resolved 99
Stale 31
No linked repository 2
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 6 exposed · ~465 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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

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 ~62

List all gates in the authenticated Verlon AI account. Each gate's summary (id, name, description, primary model, task type, connector, whether it is the default gate for `verlon connect`, 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.

Common questions

What is the Verlon AI MCP server?

Verlon AI MCP is listed in the public MCP registry as ai.verlon/mcp. Inspect and manage Verlon AI gates, logs, recommendations, and experiments from any MCP client. This page covers its npm package (@verlon-ai/mcp).

Is the Verlon AI MCP server safe to use?

Verlon AI MCP scores 90 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Verlon AI MCP server expose?

Verlon AI MCP exposes 6 tools: list_gates, get_gate, list_logs, get_recommendations, list_experiments, list_models. Their descriptions and schemas cost roughly 465 tokens of context every time the server is loaded.

Is the Verlon AI MCP server still maintained?

Verlon AI MCP is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the Verlon AI MCP server under?

Verlon AI MCP declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.