Server data from the Official MCP Registry
Inspect and manage Verlon AI gates, logs, recommendations, and experiments from any MCP client.
Inspect and manage Verlon AI gates, logs, recommendations, and experiments from any MCP client.
Valid MCP server (6 strong, 6 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
12 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: VERLON_API_KEY
Environment variable: VERLON_BASE_URL
Add this to your MCP configuration file:
{
"mcpServers": {
"ai-verlon-mcp": {
"env": {
"VERLON_API_KEY": "your-verlon-api-key-here",
"VERLON_BASE_URL": "your-verlon-base-url-here"
},
"args": [
"-y",
"@verlon-ai/mcp"
],
"command": "npx"
}
}
}From the project's GitHub 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.
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.
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.
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-..."
}
}
}
}
The server speaks MCP over stdio. Spawn npx -y @verlon-ai/mcp with VERLON_API_KEY in the subprocess environment.
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 |
| 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. |
| 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. |
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.
npm install
npm test # vitest
npm run build # tsc → dist/
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.
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
# 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`
# 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
MIT — see LICENSE.
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