How to Use the CHATFLY MCP in Claude Code

Q: How do I add the CHATFLY MCP Server to Claude Code?

Run claude mcp add --transport http chatfly-mcp -- in your terminal. This command registers the server in your /.claude.json file, giving your CLI agent instant access to the MCP tools.

Q: Can I use Claude Code to run CHATFLY bot diagnostics?

Yes. Claude Code calls getchatbotdetails to pull configuration parameters directly into your shell. You can diagnostic-check your production bots during SSH sessions or local terminal work.

Q: How does Claude Code fetch CHATFLY conversation lists?

Claude Code executes listflyconversations to output your active chat logs. You can instantly see recent user interactions and pipe the output to terminal utilities like grep.

Q: Can I send test messages to my chatbot from the terminal?

Yes, the sendbotmessage tool allows you to send test prompts directly through the CLI. This lets you verify bot responses within shell scripts or terminal workflows.

Manage CHATFLY deployments, train bots, and pipe conversation logs from your terminal using Claude Code.

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Setup CHATFLY with Claude Code

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Train Bots via the Claude Code MCP Server

The `trigger_bot_training` tool initiates CHATFLY bot training runs directly from your Claude Code terminal session. Claude Code runs this command inside your CI/CD pipelines to rebuild your CHATFLY bot's knowledge base every time you push documentation updates to main. You pipe this CHATFLY output to other command-line tools to monitor the training progress inside the Claude Code shell. The Claude Code agent handles the CHATFLY API requests in the background, letting you focus on your deployment scripts.

Extract Chat Logs to Terminal Pipes

The `get_conversation_history` tool dumps raw JSON transcripts of CHATFLY support chats directly into your Claude Code terminal stdout. Claude Code pipes this CHATFLY data into local analysis scripts or grep commands to filter for errors. It uses `list_fly_conversations` to grab the latest active CHATFLY session IDs before Claude Code pulls the full transcripts. This terminal-first approach lets you use Claude Code to script automated checks on your CHATFLY support quality.

Audit Account Quotas in Your Shell

The `get_chatfly_account_info` tool queries your active CHATFLY usage limits and message quotas directly from the Claude Code command line. Claude Code uses this MCP server to check these CHATFLY metrics before running high-volume automated testing scripts. It combines this with `list_chatfly_bots` to give you a complete Claude Code terminal printout of your active CHATFLY agents and their resource usage. You get a clean text summary inside Claude Code without loading a heavy CHATFLY web console.

Setup guide

Set up CHATFLY 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 chatfly-mcp with a green status indicator.
3

Start using tools

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

Terminal

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

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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 CHATFLY 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": {
    "chatfly-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 CHATFLY. 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 CHATFLY MCP in Claude Code

Run `claude mcp add --transport http chatfly-mcp -- ` in your terminal. This command registers the server in your `~/.claude.json` file, giving your CLI agent instant access to the MCP tools.

Yes. Claude Code calls `get_chatbot_details` to pull configuration parameters directly into your shell. You can diagnostic-check your production bots during SSH sessions or local terminal work.

Claude Code executes `list_fly_conversations` to output your active chat logs. You can instantly see recent user interactions and pipe the output to terminal utilities like grep.

Yes, the `send_bot_message` tool allows you to send test prompts directly through the CLI. This lets you verify bot responses within shell scripts or terminal workflows.

All communication runs through a local sandbox using ephemeral MCP transport layers. Your bot configurations and chat histories are processed in memory and never written to persistent third-party disks.

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