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Stigg mcp

Skill stiggio/skills/skills/stigg-mcp

SETUP skill — use when connecting an AI client to the Stigg MCP server at https://mcp.stigg.io, or when picking between the Stigg CLI and the Stigg MCP server. Covers Claude Code, Claude Desktop, ChatGPT, Cursor, VS Code, Windsurf, Codex, Continue.dev, and any MCP-compatible client. Triggers include "set up Stigg MCP", "install Stigg MCP", "connect Stigg to Claude", "connect Stigg to Cursor", "add Stigg MCP server", "stigg mcp add", "/mcp doesn't show stigg", "Stigg MCP not connecting", "X-API-KEY header for Stigg MCP", "@stigg/typescript-mcp", "stdio bridge for Stigg", "Stigg CLI vs MCP", "Stigg HTTP transport", or any first-time Stigg-with-an-agent setup. Skip for using the Stigg MCP after it's already connected — operational work belongs to the relevant pillar (entitlements, credits, pricing-modeling, subscriptions, widgets).From its SKILL.md

Install
npx -y skills add stiggio/skills --skill stigg-mcp

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

8.4 KB, as published. Nobody here has run it

Stigg MCP — Connect Once, Use Everywhere

The Stigg MCP server at https://mcp.stigg.io exposes a Stigg environment to any MCP-compatible AI client. The agent can then provision customers, manage subscriptions, check entitlements, and report usage — in natural language — without writing API calls.

Status: the Stigg MCP server is currently in public beta. Re-confirm via docs.stigg.io before relying on edge behavior.

Before You Start

Per the umbrella stigg skill: search first. If the user already has the Mintlify Stigg docs MCP available (search_stigg), use it to confirm the latest install command. Re-fetch the MCP-server docs page when in doubt.

The 3-Step Setup

Step 0 — You need a Stigg account

If you don't already have one: sign up at app.stigg.io. New accounts come with a default sandbox environment. Production environments are on the Scale plan.

If your agent runs the install command before Step 0 is done, the smoke test will fail with 401 Unauthenticated.

Step 1 — Get an API key

  1. In the Stigg app, go to Integrations → API keys.
  2. Pick the environment (sandbox / staging / production). Default to sandbox for AI-assisted dev.
  3. Either copy the Full access key or click + Add scoped key (Scale plan) and grant only the permissions the agent needs. Treat the key like a password.

For better isolation, create a dedicated scoped key per AI client (e.g., "Claude Code – Dev", "Cursor – Staging").

Step 2 — Configure the client (snippets per AI client)

Claude Code (HTTP transport — preferred)

claude mcp add stigg \
  --header "X-API-KEY: <YOUR_API_KEY>" \
  --transport http https://mcp.stigg.io

Then start a new Claude Code session and run /mcp to confirm stigg is connected and its tools are listed.

Claude Desktop

Edit:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Add under mcpServers:

{
  "mcpServers": {
    "stigg": {
      "url": "https://mcp.stigg.io",
      "headers": {
        "X-API-KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Restart Claude Desktop.

ChatGPT

Settings → Connectors, add a new MCP server:

FieldValue
Server URLhttps://mcp.stigg.io
ConnectionAPI Key (header)
Header nameX-API-KEY
Header value<YOUR_API_KEY>

Cursor / VS Code / Windsurf / Codex / generic clients (stdio bridge)

These clients use the local stdio bridge @stigg/typescript-mcp (run via npx). Edit the relevant config file (~/.cursor/mcp.json for Cursor; MCP: Open User Configuration in VS Code; the equivalent for Windsurf/Codex), and add:

{
  "mcpServers": {
    "stigg_typescript_api": {
      "command": "npx",
      "args": ["-y", "@stigg/typescript-mcp"],
      "env": {
        "STIGG_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Restart the client. For any client that supports HTTP transport natively, prefer the mcp.stigg.io HTTP form (same shape as the Claude Desktop snippet).

The canonical, always-current install matrix lives at docs.stigg.io/api-and-sdks/mcp-server. Refresh from there if a snippet here doesn't work.

Smoke Test

After install, confirm:

  1. Tool listing. In Claude Code: /mcp — stigg should appear with its tools.
  2. Search docs. Ask: "Search Stigg docs for 'create a customer'." If the agent invokes search_docs (or equivalent) and returns a doc snippet, transport is alive.
  3. No-op read. Ask: "List the first 3 customers in this Stigg environment." This exercises a read against the live env. Expected on a fresh sandbox: an empty list — that's a pass.

If any step fails, the most common causes are: wrong header name (X-API-KEY, not Authorization), key from a different environment than expected, or the client wasn't restarted after editing the config.

When NOT to Use This Skill

Don't load this skill — go straight to a different one — when:

  • You're writing production hot paths (gating, per-request usage reports). The MCP is non-deterministic by design; use the Node SDK instead — see stigg-api.
  • The user explicitly asks for the CLI, or the task is unambiguously a deterministic shell workflow (CI, scheduled cron, runbooks). Use the Stigg CLI (brew install stiggio/tools/stigg — https://github.com/stiggio/stigg-cli) — see references/cli-vs-mcp.md. Otherwise default to the MCP server even for one-off ops.
  • The user's question is about the REST or GraphQL API itself, not the MCP server — see stigg-api.

The MCP server fits when you're inside an AI assistant doing modeling, exploration, or one-off ops. It doesn't fit unattended automation or production hot paths.

Security — Read This Before Connecting Production

  • Default to sandbox. AI agents can take destructive, hard-to-reverse actions based on natural-language instructions that may be misinterpreted. Develop and test against sandbox first.
  • One scoped key per AI client. Don't reuse the full-access key everywhere. If a key leaks, blast radius = its scoped permissions only.
  • Keys are environment-bound. A sandbox key cannot touch production data, and vice versa.
  • Never commit keys. Treat them like passwords.
  • Rotate periodically from Settings → API keys. Stigg supports zero-downtime rotation with a configurable grace period.
  • The agent acts on your behalf. There is no separate agent identity. The MCP server forwards API calls using your key, scoped to its permissions.

Multi-Environment

Each mcpServers entry is per-environment. To switch, configure separate entries (stigg-sandbox, stigg-production) with separate keys. This is error-prone — the agent may not know which to target. Prefer running with a single environment per session and only adding the key for the environment you intend the agent to operate on.

What the Agent Can Do Once Connected

A non-exhaustive map (full surface continues to grow — re-check the docs page):

  • Catalog: create / update / archive / list plans, features, add-ons; publish and archive packages.
  • Customers & subscriptions: provision customers, provision/preview/cancel subscriptions (including scheduled and trial), grant promotional entitlements.
  • Entitlements & usage: check entitlements, report usage measurements, report metering events.

A current, terse tool listing is in references/mcp-tools.md. Do not memorize this list — re-fetch from the live docs when in doubt.

Common Mistakes

MistakeFix
Used Authorization: Bearer headerThe Stigg MCP wants X-API-KEY.
/mcp doesn't show stiggForgot to restart the client after editing config.
401 Unauthenticated on every callKey is for a different environment, expired, or revoked.
Agent acted on production by mistakeOnly the sandbox key should be in the config during dev. Remove the prod entry.
Picked the MCP for a CI scriptUse the CLI for CI. The MCP is non-deterministic by design.
Embedded the key in a checked-in configUse env vars or your client's secret store. Rotate the leaked key immediately.
Misread an execute isError: true from a TypeScript typecheck rejection as an account/permission failureexecute runs sandboxed TypeScript — a typecheck error means your snippet doesn't compile, not that the API or key is wrong. Fix the TS and re-run.

Keep looking

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