Agent Skill · Stigg

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).

Provider: Stigg Path in repo: skills/stigg-mcp/SKILL.md

Skill body

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:

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:

Field Value
Server URL https://mcp.stigg.io
Connection API Key (header)
Header name X-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: /mcpstigg 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:

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

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):

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

Mistake Fix
Used Authorization: Bearer header The Stigg MCP wants X-API-KEY.
/mcp doesn’t show stigg Forgot to restart the client after editing config.
401 Unauthenticated on every call Key is for a different environment, expired, or revoked.
Agent acted on production by mistake Only the sandbox key should be in the config during dev. Remove the prod entry.
Picked the MCP for a CI script Use the CLI for CI. The MCP is non-deterministic by design.
Embedded the key in a checked-in config Use env vars or your client’s secret store. Rotate the leaked key immediately.

Work with this as data

Every skill here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

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