@verlon-ai/mcp

@verlon-ai/mcp

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.

Category
Visit Server

README

@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: 0.3.1 — 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.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured