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Connect Deep Talk to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn massive customer datasets into actionable intelligence through your AI agent.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 5 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 5 available through Deep Talk.

  1. 01

    List pipelines

    Use this to see all the NLP analysis pipelines currently in your Deep Talk account.

  2. 02

    Get pipeline details

    This capability retrieves the specific configuration settings for a chosen pipeline.

  3. 03

    Create batch prediction

    This capability starts a new batch prediction job on a specific dataset using a designated pipeline and text column.

Capability set02 / 02

04-05

2 capabilities in this set.

Part of 5 available through Deep Talk.

  1. 04

    Get batch prediction

    Use this to pull the results or check the progress of a specific batch prediction job.

  2. 05

    List batch predictions

    This capability lists all your batch prediction jobs and shows their current status.

Real work

What teams actually run

01

Support Trend Monitoring

A support lead asks the agent to check if a new bug is causing a spike in negative sentiment.

02

Product Roadmap Input

A product manager requests a summary of feature requests hidden in Zendesk logs.

03

Customer Sentiment Audits

An analyst runs a batch prediction to compare sentiment levels between two different months.

04

Automated Topic Discovery

A team uses the agent to find new, unexpected conversation clusters in their raw data.

Automate a task

Put Deep Talk to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Deep Talk works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Deep Talk to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

839ms average. Fast in production.

Deep Talk is checked daily against the live service.

Daily averagePeak 1015ms
Oct 3Today
Fastest day
715ms
Slowest day
1015ms
14-day trend
Slowing+5%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 5 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Deep Talk, so you can see the experience inside your AI.

It does not authenticate your account with Deep Talk. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Deep Talk Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_p1r9lyvKUygLDYkDHtS0iQrZChD9ZM45aBPc7pHA/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Deep Talk capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "deep-talk-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_p1r9lyvKUygLDYkDHtS0iQrZChD9ZM45aBPc7pHA/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Deep Talk in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Deep Talk owners hand off.

This MCP is built for teams that need to turn raw customer text into structured data without manual tagging.

  • 01

    Customer Experience Managers

    They ask the agent to find trending customer pain points and common issues.

  • 02

    Data Analysts

    They use the agent to pull structured conversation clusters and sentiment metrics for research.

  • 03

    Product Teams

    They task the agent with monitoring feedback themes from support channels to guide roadmaps.

FAQ

Questions Deep Talk owners ask.

  • 01

    How do I connect this MCP to my AI client?

    You connect it through the Vinkius catalog. Once connected, you just need to provide your Deep Talk API key to authorize your agent.

  • 02

    What kind of conversation data can I analyze?

    You can process datasets exported from sources like Intercom or Zendesk. The MCP works with any conversation data you have uploaded to Deep Talk.

  • 03

    Can I run new analysis jobs through my AI agent?

    Yes. You can use the create_batch_prediction capability to start new NLP jobs on your datasets directly through your chat interface.

  • 04

    Which AI clients are compatible?

    This MCP works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 05

    How do I see if a data processing job is finished?

    You can ask your agent to check the status of a job using the get_batch_prediction capability.

  • 06

    How do I get a Deep Talk API Key?

    Log in to your Deep Talk account, navigate to the API section in your settings, and you can generate or retrieve your unique API Key from there.

  • 07

    Can the agent process real-time conversations?

    This integration currently focuses on analyzing datasets that have already been uploaded and processed within Deep Talk. Real-time streaming analysis is managed via the Deep Talk dashboard or webhook integrations.

  • 08

    What languages are supported for analysis?

    Deep Talk supports multiple languages for NLP analysis, including English, Spanish, Portuguese, and French. The agent retrieves results based on the analysis performed in your account.

Explore

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