How to Use the Texter MCP in Cursor

Q: What kind of chat information does this MCP Server provide?

You get detailed chat objects using gettexterchatdetails, and you can list every conversation with listtexterchats to build a complete picture.

Q: If I need to add labels, what tool should I use when working in Cursor?

Use addlabeltotexterchat. You can pass the necessary chat ID variable directly into your function call for immediate labeling.

Q: Can this MCP Server help me manage my SMS drip campaigns in code?

Absolutely. You write logic that calls sendtextermessage or sendtextertemplate, making the whole process programmatic and repeatable.

Write live code using Texter APIs directly in Cursor.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Texter MCP to Cursor

Create your Vinkius account to connect Texter 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.

GDPR Free for Subscribers

Setup Texter with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Injecting messages into code with the MCP Server

`send_texter_message` lets you write a function that sends an actual text message. The agent handles the API key and returns real data, which you can use immediately in your script. This is perfect for writing scripts that automatically send follow-up messages when a specific event triggers.

Managing chat context with Texter APIs

The `list_texter_chats` tool allows you to query all active chats and inject the resulting JSON array directly into your codebase. You don't have to manually update a list. You can then use this list in conjunction with `get_texter_chat_details` to build out complex data models.

Handling message templates for production code

`send_texter_template` gives you a function call ready to go. It sends formatted, professional messages (like WhatsApp drips) and includes the necessary parameter handling so your code is clean. Use `list_texter_channels` first; that helps ensure your script knows which channels are available before it tries sending.

Setup guide

Set up Texter MCP in Cursor

Prerequisites

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

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

Add the Texter 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

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

Verify the connection

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

.cursor/mcp.json

{
  "mcpServers": {
    "texter-mcp": {
      "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 Texter. 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.

Connect Texter now

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 Texter MCP in Cursor

You write a function call in the editor, and the AI agent executes `send_texter_message`. The result is live data you can immediately use in your current file.

You get detailed chat objects using `get_texter_chat_details`, and you can list every conversation with `list_texter_chats` to build a complete picture.

Use `add_label_to_texter_chat`. You can pass the necessary chat ID variable directly into your function call for immediate labeling.

Absolutely. You write logic that calls `send_texter_message` or `send_texter_template`, making the whole process programmatic and repeatable.

It works with conversation history (messages), chat identifiers, and department listings.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python