How to Use the Fera.ai MCP in Claude Code

Q: How do I install Fera.ai for Claude Code?

Use the command claude mcp add followed by the server URL. Ensure you provide your API token as an environment variable to authorize the connection.

Claude Code brings Fera.ai data into your terminal for automated social proof pipelines.

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Connect Fera.ai MCP to Claude Code

Create your Vinkius account to connect Fera.ai to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Fera.ai with Claude Code

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Script Fera.ai data with Claude Code

Pipe the output of `list_reviews` directly into your shell scripts for automated reporting. Claude Code handles the JSON parsing so you can focus on building your CI/CD pipelines. This is ideal for DevOps tasks where you need to verify social proof status before a deployment. It connects directly to your terminal session without needing a browser.

Automate store checks with Claude Code

Use `list_stores` and `get_account_info` to verify your environment state before running production builds. Claude Code ensures your configuration matches your actual Fera.ai account settings. This prevents deployment errors caused by stale credentials or incorrect store IDs. Your pipeline stays lean and focused on the task at hand.

Query UGC with Claude Code

Execute `list_media` commands to batch-process customer content for your site assets. Claude Code can iterate through these records and move files to your storage buckets automatically. This removes the manual burden of managing UGC. You write one script, and your agent executes it across your entire catalog via the command line.

Setup guide

Set up Fera.ai MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see feraai-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Fera.ai transactions." It will automatically discover and invoke the available Fera.ai tools.

Terminal

claude mcp add --transport http feraai-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Fera.ai MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "feraai-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fera.ai. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Fera.ai MCP in Claude Code

Use the command `claude mcp add` followed by the server URL. Ensure you provide your API token as an environment variable to authorize the connection.

Yes, it is designed for headless execution. You can trigger tool calls in your GitHub Actions or Jenkins jobs to monitor ratings and review activity automatically.

The server supports HTTP, stdio, and SSE transports. You can configure your preferred connection method when you add the server via the CLI.

Claude Code logs tool output to your terminal session for debugging. Your API secret remains in your local configuration and is never logged to standard output.

The server uses authenticated HTTPS requests for all data transfers. By isolating the tool execution in your terminal, you maintain full control over exactly what data is pulled from your store.

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