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Verlon AI MCP

by verlon-aiversion 0.4.1i★ –iRuns on your computer
Registry nameai.verlon/mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: VERLON_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: VERLON_API_KEY, VERLON_BASE_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "verlon": {
      "command": "npx",
      "args": [
        "-y",
        "@verlon-ai/mcp"
      ],
      "env": {
        "VERLON_API_KEY": "your-value",
        "VERLON_BASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add verlon --env VERLON_API_KEY=your-value --env VERLON_BASE_URL=your-value -- npx -y @verlon-ai/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "verlon": {
      "command": "npx",
      "args": [
        "-y",
        "@verlon-ai/mcp"
      ],
      "env": {
        "VERLON_API_KEY": "your-value",
        "VERLON_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "verlon": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@verlon-ai/mcp"
      ],
      "env": {
        "VERLON_API_KEY": "your-value",
        "VERLON_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • VERLON_API_KEY secret required env
    Verlon API key (sk-vrln-...). Generate at https://verlon.ai/dashboard/settings/keys.
  • VERLON_BASE_URL env
    Override the Verlon API base URL. Defaults to https://api.verlon.ai.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain verlon.ai (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32602 servers in this category
  • Published to the registry more recently than 42% of the other 32602 servers in this category
  • Basic checks equal to or better than 100% of the other 32602 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Verlon AI MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: VERLON_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.1) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Rystic

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Rystic

by Rystic-Inc

Start, seed, clock, inspect and diff Rystic API simulators from your agent.

Runs on your computerUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@verlon-ai/mcp

Model Context Protocol server for Verlon AI. Exposes your Verlon resources (gates, logs, recommendations, experiments) as MCP tools so coding agents — Claude Code, Cursor, Cline, any MCP-compatible client — can inspect and manage your AI infrastructure natively.

Status: 0.4.0 — listed in the MCP Registry as ai.verlon/mcp. Ships 6 read-only tools (list_gates, get_gate, list_logs, get_recommendations, list_experiments, list_models) plus one write tool, switch_model, registered only with --enable-writes. The broader write surface (create_gate, update_gate, run_chat, start_experiment) lands in a future release behind the same flag.

Install

You don't install it directly. Your MCP client (Claude Code, Cursor, etc.) spawns it as a subprocess via npx. Add the snippet below to your client's MCP config.

Claude Code

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or the equivalent on your OS:

{

"mcpServers": { "verlon": { "command": "npx", "args": ["-y", "@verlon-ai/mcp"], "env": { "VERLON_API_KEY": "sk-vrln-..." } } } }

Then restart Claude Code. The verlon server should appear in the tools list, and Claude can call verlon:list_gates against your account.

Cursor

Add to your Cursor MCP config (Settings → Features → MCP Servers):

{

"mcpServers": { "verlon": { "command": "npx", "args": ["-y", "@verlon-ai/mcp"], "env": { "VERLON_API_KEY": "sk-vrln-..." } } } }

Any other MCP-compatible client

The server speaks MCP over stdio. Spawn npx -y @verlon-ai/mcp with VERLON_API_KEY in the subprocess environment.

Tools

The default tool set is read-only — see Security note for the rationale. Write tools register only when the server starts with --enable-writes.

ToolInputsWhat it returns
list_gates_none_Every gate in the account — id, name, description, model, taskType, taskSubtype, createdAt
get_gategateId (UUID)Full gate config — model, fallback chain, task type, spending limits, sub-gates, orchestration
list_logsgate?, since? (ISO 8601), success?, limit? (1-100, default 20)Recent request logs — timestamp, gate, model, cost, latency, success/failure
get_recommendationsgateId (UUID)Cortex intelligence report — themes, drift detection, optimization recommendations. { report: null } when no run has been produced yet
list_experimentsgateId?, status?, projectId?Experiments (shadow + split) — id, name, status, test type, variants, goal metric, configuration
list_modelsprovider? (openai, anthropic, google, mistral, …)Chat models a gate can route to, with live pricing (USD per 1M tokens) and capability scores
Write tools (--enable-writes only)
ToolInputsWhat it does
switch_modelmodel (id from list_models), gateId?Switches which model a coding gate routes to. Takes effect on the next turn of any running session, no restart. With gateId omitted, targets the account's Claude Code connector gate. Idempotent; the change is one reversible field.

Configuration

Env varRequiredDefaultNotes
VERLON_API_KEYYes—Your Verlon API key (sk-vrln-...).
VERLON_BASE_URLNohttps://api.verlon.aiOverride for self-hosted Verlon.

CLI flags

FlagPurpose
--enable-writesRegister write-capable tools (switch_model today). Default is read-only — a misaligned agent can't accidentally destroy resources.
--help, -hPrint usage.

Security note

Read-only by default is a deliberate choice. The MCP client (Claude Code, Cursor, etc.) sees this server's tools and may invoke them autonomously when a user's request makes them seem relevant. A read-only default means even a misaligned agent can only inspect your account, not modify it. Opt in to write tools (--enable-writes) only after you understand the implications. The only write tool today is switch_model, deliberately the narrowest possible first write: one reversible field on one gate. Creating, updating, or deleting resources is not yet exposed.

Development

npm install

npm test # vitest npm run build # tsc → dist/

Publishing (maintainers)

The package is dual-published: to npm as @verlon-ai/mcp (automated, with provenance), and to the MCP Registry as ai.verlon/mcp (manual). The registry validates that the npm version exists before accepting a publish, so npm always goes first.

Per-release flow

Bump versions in lockstep across three files — CI fails on drift:

FileField
package.jsonversion
server.jsonversion AND packages[0].version
src/server.tsVERLON_MCP_VERSION constant

Then:

# 1. Merge the bump to main (CI enforces the lockstep), then tag:

git tag v0.4.1 && git push origin v0.4.1

The publish workflow runs npm publish --provenance automatically.

Wait ~30s for npm CDN; verify:

npm view @verlon-ai/mcp version # should print the new version

2. MCP Registry publish (manual — needs mcp-publisher + DNS-verified ai.verlon namespace)

npm run publish:mcp

One-time setup (registry publishing)
# Install the MCP Registry publisher (NOT npm — it's a prebuilt binary)

brew install mcp-publisher

DNS-verify the verlon.ai domain (required to publish under the ai.verlon namespace)

mcp-publisher login --help # follow the DNS verification flow it prints

Add the TXT record on verlon.ai; verify with dig TXT verlon.ai +short

Verification
# All three versions match?

npm view @verlon-ai/mcp version jq -r .packages[0].version server.json grep VERLON_MCP_VERSION src/server.ts

Registry listing live?

curl 'https://registry.modelcontextprotocol.io/v0/servers?search=verlon' | jq

End-to-end smoke against the published artifact

VERLON_API_KEY=sk-vrln-... npx @modelcontextprotocol/inspector npx -y @verlon-ai/mcp

License

MIT — see LICENSE.

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