Claude and other AIs

How to set up Trengo in Claude and other AIs

Set up in seconds, once. From then on, Trengo answers in Claude, in ChatGPT, in Gemini — in every AI you use: the same link, the same governance, nothing to rebuild.

Ask AI about this guide

Step by step, for each client

Connecting Trengo in each client

The same hosted link plugs into every client below. Pick the one you use — each setup takes seconds — and start a new chat.

Claude

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to Claude

About a minute, right in your Claude settings

  1. 1In Claude, open Customize and choose Connectors (claude.ai or the desktop app).
  2. 2Click +, choose Add custom connector, and paste your Trengo link as the remote MCP server URL.
  3. 3Click Add and start a new chat. Ask for something real: Trengo is now part of your Claude.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

ChatGPT

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to ChatGPT

About a minute, right in your ChatGPT settings

  1. 1In ChatGPT, open Settings, choose Apps & Connectors, and turn on Developer mode under Advanced settings.
  2. 2Click Create, name it, and paste your Trengo link as the MCP server URL. Choose No authentication and check “I trust this application”.
  3. 3Create it, start a new chat, and switch the connector on via the + menu. Ask for something real: Trengo is now part of your ChatGPT.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Gemini

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to Gemini

About a minute, right in your terminal

  1. 1Open the Gemini CLI in your terminal.
  2. 2Run: gemini mcp add --transport http Trengo <your link>. Your Trengo link above is the HTTP URL.
  3. 3Run /mcp and confirm the status shows CONNECTED. Trengo is now part of your Gemini.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Perplexity

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to Perplexity

A few minutes, in the Perplexity Mac app

  1. 1In the Perplexity Mac app, open Account, choose Connectors, and click Add Connector.
  2. 2In the Simple tab, choose MCP Connector, name it, and add the bridge command with your Trengo link: npx mcp-remote <your link>. The link above is the URL.
  3. 3Click Save and check it shows Running, then turn the connector on under Sources on the homepage. Trengo is now part of your Perplexity.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Grok

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to Grok

About a minute, at grok.com/connectors

  1. 1In Grok, open grok.com/connectors and click New Connector.
  2. 2Choose Custom, name it, and paste your Trengo link as the remote MCP server URL.
  3. 3Save and enable it, finish the browser authorization if prompted, and ask Grok something real. Trengo is now part of your Grok.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Microsoft Copilot

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to Copilot

About a minute, in VS Code's Copilot Chat

  1. 1In VS Code, open the Copilot Chat panel, click the tools icon and select the + icon, or run MCP: Add Server from the Command Palette.
  2. 2Choose your scope, name the server, and paste your Trengo link as the server URL with HTTP transport.
  3. 3Confirm the server appears in your MCP list, then ask Copilot something real. Trengo is now part of your Copilot.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Cursor

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to Cursor

About a minute, in Cursor

  1. 1Open Customize in the Cursor sidebar (or create .cursor/mcp.json in your project).
  2. 2Add an MCP server named Trengo with the url field set to your link. The link above is the URL.
  3. 3Save, enable the server, and ask something real. Trengo is now part of Cursor.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

VS Code

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to VS Code

About a minute, in VS Code

  1. 1Run MCP: Add Server from the Command Palette (or create .vscode/mcp.json in your project).
  2. 2Add a server named Trengo with type http and your link as the url. The link above is the URL.
  3. 3Save and ask something real in Copilot Chat. Trengo is now part of VS Code.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Windsurf

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to Windsurf

About a minute, in Cascade

  1. 1In Cascade, click the MCPs icon (or go to Settings, Cascade, MCP Servers).
  2. 2Edit mcp_config.json and add Trengo with the serverUrl field set to your link. The link above is the URL.
  3. 3Save and ask something real. Trengo is now part of Windsurf.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

JetBrains

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to JetBrains

About a minute, in Settings

  1. 1Go to Settings, Tools, AI Assistant, Model Context Protocol (MCP).
  2. 2Click Add and add Trengo with the url field set to your link. The link above is the URL.
  3. 3Click OK and Apply, check the Status column, and ask something real. Trengo is now part of your IDE.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Cline

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to Cline

About a minute, in the Cline panel

  1. 1In the Cline panel, click the MCP Servers icon and open the Remote Servers tab.
  2. 2Add a server named Trengo with your link as the Server URL and Streamable HTTP as the transport. The link above is the URL.
  3. 3Click Add Server and ask something real. Trengo is now part of Cline.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

LangChain

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to LangChain

About a minute, in your code

  1. 1Install LangChain with the mcp extra: pip install "langchain[mcp]".
  2. 2Create an MCPAdapter with your Trengo link: MCPAdapter("<your link>"). The link above is the URL.
  3. 3Call list_tools and pass the tools to your agent. Trengo is now part of your LangChain agent.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Vercel AI SDK

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to the Vercel AI SDK

About a minute, in your code

  1. 1Install the MCP client: npm install @ai-sdk/mcp, and import createMCPClient from '@ai-sdk/mcp'.
  2. 2Create the client with your Trengo link as the transport: { type: 'http', url: '<your link>' }. The link above is the URL.
  3. 3Call client.tools() and pass the tools to streamText. Trengo is now part of your AI SDK app.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Lovable

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to Lovable

About a minute, in the Connectors catalog

  1. 1Open Connectors, select the + button in the top right of the catalog, and choose MCP server.
  2. 2Name the server and paste your Trengo link as the Server URL. The link above is the URL.
  3. 3Choose No authentication and click Add server, then ask Lovable something real. Trengo is now part of Lovable.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Z.ai

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to Z.ai

About a minute, in ZCode settings

  1. 1Open Settings, MCP Servers, then click New MCP Server in the upper-right corner.
  2. 2Choose the User scope, name it, and keep the type as HTTP. Paste your Trengo link as the service URL. The link above is the URL.
  3. 3Click Add and confirm the server is enabled in the list, then ask something real. Trengo is now part of Z.ai.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Raycast

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to Raycast

A few minutes, in Raycast Pro

  1. 1Search for the Install MCP Server command (or open Manage MCP Servers and choose Install New Server).
  2. 2Give the server a name and icon, select HTTP as the transport, and paste your Trengo link as the URL. The link above is the URL.
  3. 3Press Install MCP Server and confirm the status shows Running, then ask something real. Trengo is now part of Raycast.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Qwen Code

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to Qwen Code

About a minute, in your terminal

  1. 1Run: qwen mcp add --transport http Trengo <your link>. The link above is the URL.
  2. 2Prefer a config file? Add it to ~/.qwen/settings.json (user) or .qwen/settings.json (project) with the httpUrl field. The link above is the URL.
  3. 3Enter /mcp in the chat to confirm the server appears. Trengo is now part of Qwen Code.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Kimi Code

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to Kimi Code

About a minute, in the TUI

  1. 1Run /mcp-config in the Kimi Code TUI to add a server interactively (or edit mcp.json directly).
  2. 2Add a server named Trengo with your link in the url field. The link above is the URL.
  3. 3Run /mcp to confirm the status, then ask something real. Trengo is now part of Kimi Code.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Le Chat

Trengo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

Connecting Trengo to Le Chat

About a minute, in Connectors

  1. 1In Le Chat, open Connectors and choose to add a custom connector.
  2. 2Paste your Trengo link as the remote MCP server URL. The link above is the URL.
  3. 3Save and authorize, then ask something real. Trengo is now part of Le Chat.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "trengo-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp"
    }
  }
}

Claude and other AIs + Trengo

One chat. Your Trengo, live inside Claude and other AIs.

Real prompts, answered with live data. This is the kind of conversation you will have in Claude and other AIs once the link is in.

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

These prompts ship with the Trengo Connector. Once yours is connected, they work in your chats.

The full capability set, the prompts and the observed latency live on the Trengo Connector page.

Mission Control

See everything your agents do in Trengo.

When your agents run a tool in Trengo, it happens on the client side: you see the answer in the chat, but not the request itself, what data it carried, or whether a rule was broken.

Now every move lands on your screen.

Every execution is recorded, enforced, and shown to you: what ran, what it returned, what was blocked, and why.

AI Briefing
Upgrade to unlock

Know exactly what needs your attention before you even look at the charts. One briefing. The full picture. The next move.

Requests
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Total in this period
Avg Latency
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API 88ms · Overhead 54ms
Vinkius Reliability
0
Agent 280 · Upstream 47 · Vinkius 15
Tokens
0
AI tokens processed
DLP Protected
0
Sensitive data redacted
Cost Saved
0
FinOps truncations applied

AI Agents Activities

last 30 days
30d agotoday

Request Volume & Latency

requests latency

Every request your agents make through Trengo is logged, enforced and auditable. See how AI Governance turns agent activity into accountability, and what it means for your Trengo workflows.

What sets us apart

It's not just the Connector that stays safe. Everything your agents do through it is.

Connecting Trengo to your AI is step one. But an open line between your agents and Trengo is only half the story: without protection, every action they take runs unguarded.

That's why protection doesn't stop at the door.

Every action your agents take through the Connector runs inside our infrastructure: signed activity logs, automatic key rotation, spending limits that pause instead of surprise, and a sandbox that isolates every execution.

01

Tamper Proof Activity Log

Every request your agents make in Trengo is recorded and signed, so any change to the history becomes detectable.

02

Automatic Key Rotation

We rotate security keys every 24 hours. Your Trengo connection stays protected without any manual work.

03

Spending Protection

We enforce the spending limit you choose and pause actions that exceed it until approval is received. Your Trengo actions never surprise you.

04

Isolated Sandbox

Every execution through Trengo runs isolated, with 34+ security rules covering memory, CPU, network access, file handling and execution.

05

Security Event Streaming

Security events flow to Splunk, Datadog or your own webhook, so Trengo activity lands in the tools you already rely on.

06

Instant Resume

Idle connections resume in 3 to 5 ms while preserving their state, keeping your conversations responsive across every client.

07

Malicious File Protection

We detect compressed files designed to exhaust system resources and block them before they ever reach Trengo.

08

Credential Validation

We test your Trengo credentials before saving them. Invalid credentials are rejected instead of being stored.

09

Separate Usage Limits

Usage stays isolated per account, so activity in one connection never consumes another account's allowance.

One Connector, one link, and the whole operation is protected. Not just the connection: everything your agents do through it.

These guarantees are not add-ons: they are the infrastructure every Trengo connection runs on. Read how our infrastructure protects everything your agents do, end to end.

Inside Vinkius

Get Trengo ready for your AI. It's easy.

You choose Trengo from the Vinkius Catalog, sign in to your Trengo account, and get one connection link. That's it.

  1. You choose Trengo

    You find Trengo in the Catalog and install the Connector with one click.

    Trengo

    Active

    Enable Connector
    Activating…

  2. You sign in

    You connect your Trengo account and choose what you want your AI to access. Your credentials stay encrypted and separate from your AI.

    Configure Credentials

    Configure credentials for {{connectorName}}

    RequiredEncrypted
    Save & Continue

    Encrypted Storage

    Your credentials are encrypted at rest and in transit.

    Never Shared

    Your credentials are never shared with third parties.

    Full Control

    Revoke or update credentials at any time.

  3. You add the link in your AI client

    Vinkius gives you one connection link. Add it to the client you use — the exact steps for each client are in the section above — and Trengo is live everywhere in one move.

    Token generated successfully

    MCP Connection URL

    https://edge.vinkius.com/vk_preview_A8u1cVikv6oTvCUnABKUk7KeTnNuAWPNBEmEQcMW/mcp

    Connection Token

    vk_live_••••••••
    Go to Dashboard

Set it up once. Use Trengo with the AI you already use.

FAQ

Claude access questions.

  • 01

    Does this work on claude.ai and in the Claude desktop app?

    Yes. You add the same link under Customize and Connectors in both, and your chats work the same in each.

  • 02

    If I connect Trengo to Claude, can I use the same connection in ChatGPT or Gemini later?

    Yes, and that's the point: the connection is yours, not Claude's. You paste the same link in any AI you use, and there's nothing new to set up or pay again. Connect a new AI and Trengo is already there.

  • 03

    Do I need to hand my Trengo password to Claude?

    Never. You sign in once at Vinkius, and we keep your logins encrypted and away from your AI. Claude only ever sees the link, and you can remove it whenever you want.

  • 04

    What can I actually ask Claude to do with Trengo?

    Whatever the Connector covers: check data, run actions and bring answers back into the chat. The Connector page lists every capability your AI gains, with real examples you can copy.

  • 05

    Claude doesn't show the Connector. What do I check?

    Make sure the link was pasted exactly as copied and that the Connector is active in your Vinkius account, then reopen the connectors list in Claude. A deactivated Connector stops appearing in new chats.

  • 06

    Can I remove the access later?

    Anytime. Remove the connector under Customize and Connectors in Claude and it's out of your chats. Your Vinkius account keeps the connection and its history either way, ready for the next AI.

  • More questions about Trengo? The Connector page answers them. See everything the Trengo Connector can do

About the Connector

What Trengo adds to your AI.

Once you connect it, your AI gains 12 capabilities: the exact actions it can take in Trengo when you ask. The Connector page lists every one of them in detail, alongside the latency we measure in production and prompts worth trying first.

See everything the Trengo Connector can do