MCP server for Verlon AI — inspect and manage gates, logs, recommendations, and experiments from Claude Code, Cursor, Cline, or any MCP client
claude mcp add mcp -- npx -y @verlon-ai/mcp{
"mcpServers": {
"mcp": {
"command": "npx",
"args": ["-y", "@verlon-ai/mcp"],
"env": {
"VERLON_API_KEY": "<verlon_api_key>"
}
}
}
}VERLON_API_KEYResumen de MCP Servers
# @verlon-ai/mcp
[](https://www.npmjs.com/package/@verlon-ai/mcp)
[](./LICENSE)
[](https://github.com/verlon-ai/mcp/actions/workflows/ci.yml)
Model Context Protocol server for [Verlon AI](https://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:** 0.3.2 — listed in the [MCP Registry](https://registry.modelcontextprotocol.io/) 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:
```json
{
"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):
```json
{
"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](#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
```bash
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:
```bash
# 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)
```bash
# 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
```bash
# 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](./LICENSE).
Lo que la gente pregunta sobre mcp
¿Qué es verlon-ai/mcp?
+
verlon-ai/mcp es mcp servers para el ecosistema de Claude AI. MCP server for Verlon AI — inspect and manage gates, logs, recommendations, and experiments from Claude Code, Cursor, Cline, or any MCP client Tiene 0 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala mcp?
+
Puedes instalar mcp clonando el repositorio (https://github.com/verlon-ai/mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar verlon-ai/mcp?
+
verlon-ai/mcp aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.
¿Quién mantiene verlon-ai/mcp?
+
verlon-ai/mcp es mantenido por verlon-ai. La última actividad registrada en GitHub es de today, con 0 issues abiertos.
¿Hay alternativas a mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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