cf-add-integration

name	cf-add-integration
description	Add a custom MCP connector — connect any API or service to ContentForge via .mcp.json configuration.
disable-model-invocation	true
argument-hint	[service-name]
effort	medium

/contentforge:cf-add-integration

Purpose

Help users connect any external API, tool, or service to ContentForge as an MCP connector. Walk through the entire process conversationally — from finding the right MCP package to testing the connection — without requiring technical MCP knowledge.

Input Required

The user provides (or will be asked):

• What they want to connect: The service name and what they want it to do — e.g., "Google Analytics to track content performance", "Ahrefs for keyword research", "our internal CMS to publish directly"
• Credentials: API keys, tokens, or OAuth setup they have (or will need to obtain). The system will guide them on exactly what's needed. Never ask users to paste secrets into the conversation.

Process

Step 1: Understand what the user wants

Ask the user what service they want to connect and what they want it to do within ContentForge. Map their intent to content workflow stages:

Workflow Stage	Example Integrations
Research (Phase 1)	Ahrefs, Similarweb, Google Search Console
Publishing (Phase 8)	Webflow, WordPress, HubSpot CMS
Collaboration	Notion, Slack, Google Drive
Tracking	Google Sheets, Google Analytics
Translation	DeepL, Sarvam AI
Social distribution	Twitter/X, LinkedIn, Instagram

Step 2: Check if a connector already exists

Run python scripts/connector-status.py --action check <name> to see if the connector is already in the registry.

• If it exists and is connected: Tell the user it's already active and which skills use it.
• If it exists but not connected: Run python scripts/connector-status.py --action setup-guide <name> and walk through the guided setup.
• If it doesn't exist: Proceed to Step 3.

Step 3: Find an MCP package

Search for an existing MCP server package that provides the desired integration.

Note: ContentForge ships with an empty .mcp.json ("mcpServers": {}) by design — every connector is opt-in and user-added. Nothing is pre-wired.

1. Check verified HTTP endpoints first — hosted HTTP MCP servers are the easiest (work in both Cowork and Claude Code, no API keys for OAuth-based ones). The plugin's catalog of verified HTTP endpoints lives in .mcp.json.connectors-reference — use the URL from that file. If the service isn't listed there, check the vendor's official documentation for an MCP endpoint before guessing. Do not use endpoint URLs from memory: unverified URLs waste the user's setup time.

2. Search npm for MCP packages — Search for mcp-<service-name> or <service-name>-mcp-server. Verify the package actually exists and is maintained before recommending it: run npm view <package-name> version and check last-publish date and download counts. If nothing maintained exists, say so honestly.

3. If no endpoint or package exists — Guide the user through custom MCP server development (see Step 5).

Step 4: Configure the connector

Generate the exact configuration entry for .mcp.json:

For HTTP connectors:

{
  "mcpServers": {
    "service-name": {
      "type": "http",
      "url": "https://mcp.service.com/mcp",
      "description": "Service Name — what it provides for ContentForge"
    }
  }
}

For npx connectors:

{
  "mcpServers": {
    "service-name": {
      "command": "npx",
      "args": ["-y", "mcp-package-name"],
      "env": {
        "SERVICE_API_KEY": "${SERVICE_API_KEY}"
      },
      "description": "Service Name — what it provides for ContentForge"
    }
  }
}

Walk the user through:

1. Open .mcp.json in the plugin root directory
2. Add the new entry inside the mcpServers object
3. Set up environment variables (explain where: .env file or system environment)
4. Save and restart the session

Step 5: Custom MCP server (if needed)

If no existing package covers the user's needs, provide a development template:

Project Structure:
  my-mcp-server/
  ├── index.js          # Main server with tool definitions
  ├── package.json      # Dependencies
  └── .env.example      # Required credentials

Key Components:
  - Tool definitions (what Claude can call)
  - Authentication handler (API key, OAuth, etc.)
  - Request/response formatting
  - Error handling with meaningful messages

.mcp.json Entry:
  "my-service": {
    "command": "node",
    "args": ["path/to/my-mcp-server/index.js"],
    "env": { "MY_API_KEY": "${MY_API_KEY}" }
  }

Provide a starter skeleton specific to the user's API, with:

• Endpoint URLs pre-filled
• Authentication pattern matching their API
• Tool definitions for common operations

Step 6: Test and verify

After configuration:

1. Ask the user to restart their Claude session
2. Run /contentforge:cf-integrations to verify the new connector shows up
3. Try a basic read operation to confirm it works
4. Report success or diagnose failures

Step 7: Platform-level integrations

Some services (Google Drive, Google Docs) can be connected at the Claude platform level rather than through MCP. These are managed in:

• Cowork/Claude Desktop: Settings → Integrations → Connect
• Benefit: No API keys needed — uses OAuth through Anthropic's infrastructure
• Limitation: May offer fewer capabilities than a dedicated MCP server

If the user's desired service is available as a platform integration, mention this as the simpler option.

Output

• Configuration JSON: Ready-to-paste .mcp.json entry
• Credential setup: Step-by-step instructions for API key or OAuth setup
• Verification: Confirm the connector is working or provide error diagnostics
• Skills affected: Which ContentForge skills gain capabilities from this connector

Tone

Conversational and supportive. This skill exists so that non-technical users can connect services without understanding MCP internals. Avoid jargon. Use "connector" not "MCP server". Say "connect your API key" not "configure environment variables."