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@Verlon Ai/

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Model Context Protocol server for Verlon AI that exposes gates, logs, recommendations, and experiments as MCP tools, enabling coding agents to inspect and manag

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Описание

Model Context Protocol server for Verlon AI that exposes gates, logs, recommendations, and experiments as MCP tools, enabling coding agents to inspect and manage AI infrastructure natively.

README

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: 0.3.1 — listed in the MCP Registry as ai.verlon/mcp. Ships 5 read-only tools (list_gates, get_gate, list_logs, get_recommendations, list_experiments). Write tools (create_gate, update_gate, run_chat, start_experiment) gated behind --enable-writes land in a future release.

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

All v0.3.x tools are read-only — see Security note for the rationale and the planned write-tool opt-in.

Tool Inputs What it returns
list_gates none Every gate in the account — id, name, description, model, taskType, taskSubtype, createdAt
get_gate gateId (UUID) Full gate config — model, fallback chain, task type, spending limits, sub-gates, orchestration
list_logs gate?, since? (ISO 8601), success?, limit? (1-100, default 20) Recent request logs — timestamp, gate, model, cost, latency, success/failure
get_recommendations gateId (UUID) Cortex intelligence report — themes, drift detection, optimization recommendations. { report: null } when no run has been produced yet
list_experiments gateId?, status?, projectId? Experiments (shadow + split) — id, name, status, test type, variants, goal metric, configuration

Configuration

Env var Required Default Notes
VERLON_API_KEY Yes Your Verlon API key (sk-vrln-...).
VERLON_BASE_URL No https://api.verlon.ai Override for self-hosted Verlon.

CLI flags

Flag Purpose
--enable-writes Register write-capable tools. Phase 3+ feature. In 0.1.x this flag is accepted but no write tools exist yet. Default is read-only — a misaligned agent can't accidentally destroy resources.
--help, -h Print 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, Phase 3+) only after you understand the implications.

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:

File Field
package.json version
server.json version AND packages[0].version
src/server.ts VERLON_MCP_VERSION constant

Then:

# 1. Merge the bump to main (CI enforces the lockstep), then tag:
git tag v0.3.1 && git push origin v0.3.1
# 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.

from github.com/verlon-ai/mcp

Установка @Verlon Ai/

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/verlon-ai/mcp

FAQ

@Verlon Ai/ MCP бесплатный?

Да, @Verlon Ai/ MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для @Verlon Ai/?

Нет, @Verlon Ai/ работает без API-ключей и переменных окружения.

@Verlon Ai/ — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить @Verlon Ai/ в Claude Desktop, Claude Code или Cursor?

Открой @Verlon Ai/ на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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