How to Use the SleekFlow MCP in Claude Code

Q: How do I use SleekFlow with Claude Code to list available channels?

Just execute listchannels in your terminal script. The MCP Server will output a clean, machine-readable list of all connected endpoints. This is the first step for any headless process that needs to know its connection points.

Q: Can SleekFlow help Claude Code monitor conversation status?

Yes. Running listconversations provides a list of all active conversations across channels. You can pipe this output directly into a monitoring script for background checks.

Q: What if my CI/CD pipeline needs to know about SleekFlow automation flows using Claude Code?

You run listautomationflows. This tells your system exactly what automated processes are defined, letting you write scripts that validate or update those specific flow definitions.

Q: Does SleekFlow support listing contacts for Claude Code?

Yes, the core tools allow it. You can run listcontacts to pull a list of users into your script's output stream for batch processing tasks.

Run headless processes with Claude Code. Script complex messaging logic using SleekFlow in the terminal.

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Setup SleekFlow with Claude Code

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Check All Connected Channels

When running a script, you need to know where to send data. Use `list_channels` to output every active endpoint—WhatsApp, Instagram, and more. This is your initial setup check. This makes it reliable for CI/CD pipelines because the scripts always start by confirming the available communication endpoints.

Monitor Active Conversations

A key script task is checking status. Running `list_conversations` outputs all current threads, which you can pipe into a logging tool. You're essentially monitoring system health from the command line. This gives your cron job a clear view of what needs attention without needing an interface.

Manage Automation Flows

Before deployment, you must check what flows exist. Use `list_automation_flows` to get a list of available process definitions. This lets your script validate that the intended flow is active. It’s useful for nightly maintenance scripts that verify system configurations.

Setup guide

Set up SleekFlow 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 sleekflow-mcp with a green status indicator.
3

Start using tools

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

Terminal

claude mcp add --transport http sleekflow-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 SleekFlow 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": {
    "sleekflow-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about SleekFlow MCP in Claude Code

Just execute `list_channels` in your terminal script. The MCP Server will output a clean, machine-readable list of all connected endpoints. This is the first step for any headless process that needs to know its connection points.

Yes. Running `list_conversations` provides a list of all active conversations across channels. You can pipe this output directly into a monitoring script for background checks.

You run `list_automation_flows`. This tells your system exactly what automated processes are defined, letting you write scripts that validate or update those specific flow definitions.

Yes, the core tools allow it. You can run `list_contacts` to pull a list of users into your script's output stream for batch processing tasks.

The server deals heavily with Channel Endpoint Data and Conversation Status. This includes connectivity details, message history, and the current active state of conversations across multiple channels.

Use it with your favorite AI tools

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