4,500+ servers built on MCP Fusion
Vinkius
ManyChat logo
Vinkius
Claude Code logo

How to Use the ManyChat MCP in Claude Code

Pipe ManyChat data directly into your terminal with Claude Code to automate subscriber management via CLI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

ManyChat MCP on Cursor AI Code Editor MCP Client ManyChat MCP on Claude Desktop App MCP Integration ManyChat MCP on OpenAI Agents SDK MCP Compatible ManyChat MCP on Visual Studio Code MCP Extension Client ManyChat MCP on GitHub Copilot AI Agent MCP Integration ManyChat MCP on Google Gemini AI MCP Integration ManyChat MCP on Lovable AI Development MCP Client ManyChat MCP on Mistral AI Agents MCP Compatible ManyChat MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Claude Code

Connect ManyChat MCP to Claude Code

Create your Vinkius account to connect ManyChat 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.

GDPR Free for Subscribers

Headless ManyChat MCP Server execution

The ManyChat MCP Server exposes your marketing automation infrastructure to the command line via `list_flows` and `list_tags`. You can write a shell script that tells Claude Code to pull all active campaign structures. The agent processes the JSON output and pipes it into your local environment. You get a raw, unfiltered view of your bot's architecture. This makes it easy to audit custom variables using `list_custom_fields` directly from standard output.

Query subscribers from the terminal

`find_subscriber_by_email` and `find_subscriber_by_phone` let you pull backend verification directly into your terminal. Support tickets often require immediate data checks. Instead of logging into a web portal, you prompt your shell. The agent fetches the exact profile match. It follows up with `get_subscriber` to dump the user's current status straight into your terminal.

Script bulk updates and flow triggers

`remove_tag` and `add_tag` allow the CLI to iterate through lists and reorganize audience segments automatically. Manual data cleanup is a waste of time. You instruct the agent to fire updates across a list of IDs. For CI/CD workflows, you can automate testing by having the CLI create a test user via `create_subscriber`, update their status with `set_custom_field`, and launch a sequence using `trigger_flow`.

Setup guide

Set up ManyChat 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. 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. 2

    Verify the connection

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

  3. 3

    Start using tools

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

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ManyChat MCP in Claude Code

Run `claude mcp add --transport http manychat -- `. Make sure all flags come before the server name. Verify the installation with `claude mcp list`.
Yes. You can prompt the CLI to execute `find_subscriber_by_name`. It will return the JSON payload containing the user's profile details.
Yes. You can wrap the CLI command in a bash script and schedule it. The agent will authenticate and execute `trigger_flow` autonomously.
This MCP endpoint operates over standard HTTP. You define the transport flag during setup, and configuration is stored locally in your `~/.claude.json` file.
This tool pulls raw emails, phone numbers, and bot field data into your shell. Vinkius secures the transport layer with ephemeral, zero-trust execution, but you should configure your local terminal history to avoid logging sensitive PII.

Start using the ManyChat MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for ManyChat. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.