# Verlon AI MCP (npm · @verlon-ai/mcp)

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

- Trust score: 76/100 (medium)
- Change this week: +52
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `@verlon-ai/mcp`: 76/100 (this document), [markdown](https://verifymcp.io/servers/ai-verlon-mcp/verlon-ai-mcp.md), [page](https://verifymcp.io/servers/ai-verlon-mcp/verlon-ai-mcp)

## Channel facts

- Registry: `npm`
- Package: `@verlon-ai/mcp`
- Version: `0.4.0`
- Transport: `stdio`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Supply Chain Security**: 87/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (98 of 102), so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (98 of 102), so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 97/100
  - Source repository is publicly reachable at the declared URL.
  - Cryptographically verified build provenance (signed, bound to verlon-ai/mcp).
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 7 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 75/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 451 tokens (~75/item across 6 items; 6 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 67/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add ai-verlon-mcp -- npx -y @verlon-ai/mcp
```

### Codex

```bash
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
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ai-verlon-mcp --command npx --arg -y --arg @verlon-ai/mcp
```

### Hermes

```yaml
mcp_servers:
  ai-verlon-mcp:
    command: "npx"
    args: ["-y", "@verlon-ai/mcp"]
```

### Other

```json
{
  "mcpServers": {
    "ai-verlon-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@verlon-ai/mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-02 (score 76, +58)

- [security improvement] Install scripts: unverified → pass
- [security improvement] Provenance: unverified → pass
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Malware scan: unverified → pass
- [security] The attested source repository moved: verlon-ai/mcp
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] MCP protocol: unverified → pass
- [functional improvement] Stability: unverified → 0.23
- [functional improvement] Schema quality: unverified → good
- [functional] Licence: MIT

### 2026-07-31 (score 18, +10)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 8, −16)

- [functional regression] Tool coverage: 100 → unverified
- [functional improvement] Dependency health: unverified → partial
- [functional] First check of Schema quality: unverified

### 2026-07-27 (score 24)

First indexed and scored.

## MCP tools (6)

### `list_gates` (~48 tokens)

List Verlon Gates

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.

### `get_gate` (~57 tokens)

Get Verlon Gate

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.

Input parameters:

- `gateId` (string, required)

### `list_logs` (~103 tokens)

List Verlon Request Logs

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.

Input parameters:

- `gate` (string)
- `limit` (integer)
- `since` (string)
- `success` (boolean)

### `get_recommendations` (~72 tokens)

Get Verlon Gate Recommendations

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.

Input parameters:

- `gateId` (string, required)

### `list_experiments` (~109 tokens)

List Verlon Experiments

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.

Input parameters:

- `gateId` (string)
- `projectId` (string)
- `status` (string)

### `list_models` (~62 tokens)

List Routable Models

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.

Input parameters:

- `provider` (string)

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/ai-verlon-mcp/verlon-ai-mcp#diagnostics

## Score history

- 2026-08-03: 76
- 2026-08-02: 76
- 2026-08-01: 18
- 2026-07-31: 18
- 2026-07-30: 8
- 2026-07-28: 24
- 2026-07-27: 24

## Links

- npm package: https://www.npmjs.com/package/@verlon-ai/mcp
- Socket report: https://socket.dev/npm/package/@verlon-ai/mcp
- Repository: https://github.com/verlon-ai/mcp
- Website: https://docs.verlon.ai/integrations/mcp
- Changelog RSS feed: https://verifymcp.io/servers/ai-verlon-mcp/verlon-ai-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/ai-verlon-mcp/verlon-ai-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/ai-verlon-mcp/verlon-ai-mcp