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How to Use the ManyChat MCP in Cursor

Use the ManyChat MCP Server in Cursor to automate messaging flows while you write code.

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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
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Connect ManyChat MCP to Cursor

Create your Vinkius account to connect ManyChat to Cursor 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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Inject ManyChat data into your codebase

Stop hardcoding subscriber IDs or tags. Use `find_subscriber_by_custom_field` to pull live data from your ManyChat account directly into your editor's context. You can then use `set_custom_field` to write logic that updates subscriber states based on the code you are currently building. It turns your IDE into a control panel.

Test flows within your development environment

Call `send_flow` from your chat window to test how your logic handles specific subscriber triggers. It saves you from manual testing in the dashboard. Use `get_subscriber_flows` to verify that your code is interacting with the correct sequences. Your agent confirms the state of the subscriber before pushing any updates.

Manage your subscriber logic in Cursor

Use `add_tag` or `remove_tag` to manipulate segments as part of your deployment or debugging process. You can audit these changes by running `get_subscriber_tags` immediately after. This keeps your subscriber data in sync with your backend logic. It removes the friction of manual list maintenance while you work on your features.

Setup guide

Set up ManyChat MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the ManyChat MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent ManyChat transactions." If the MCP tools are loaded correctly, Cursor will call the ManyChat tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "manychat-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ManyChat. 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.

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 Cursor

Create an mcp.json file in your project root. Add this server's configuration there so your agent can call tools like `list_custom_fields` while you code.
Absolutely. You can ask your agent to update fields or send flows using the available tools. It reads the API responses and acts on them in real-time.
Use the `find_subscriber_by_name` tool. Your agent will return the subscriber's details, allowing you to reference them in your scripts or documentation.
The MCP server uses your provided credentials to authenticate requests. Your data remains isolated within your project scope and is not shared with other users.
It retrieves names via standard API calls when you invoke `find_subscriber_by_name`. The data is used only to complete the tasks you authorize within your editor.

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 11 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 11 tools are live and waiting. You're up and running in seconds.

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