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.

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.

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.

Deep Talk MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: Deep Talk
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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Classic Setup·json

{
  "mcpServers": {
    "deep-talk": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Deep Talk MCP Server

Integrate Deep Talk, the powerful conversation analysis platform, directly into your AI workflow. Process large-scale conversation data from sources like Intercom or Zendesk, extract key topics and clusters, and analyze sentiment trends using natural language.

GitHub Copilot Agent mode brings Deep Talk data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Dataset Oversight — List and retrieve metadata for all your uploaded conversation datasets and their processing status.
Topic Extraction — Identify key themes and extracted topics from your conversation data automatically.
Sentiment Analytics — Retrieve summaries of sentiment across your entire customer interaction database.
Conversation Clustering — List clusters of similar conversations identified by Deep Talk's NLP models.

The Deep Talk MCP Server exposes 10 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Deep Talk to VS Code Copilot via MCP

Follow these steps to integrate the Deep Talk MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Deep Talk

Ask Copilot: "Using Deep Talk, help me...". 10 tools available

Why Use VS Code Copilot with the Deep Talk MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Deep Talk through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Deep Talk + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Deep Talk MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Deep Talk MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Deep Talk to VS Code Copilot via MCP:

get_account_details

Returns account-level metadata such as subscription tier, remaining processing credits, and user roles. Retrieve metadata and usage limits for your Deep Talk account

get_dataset_metadata

Resolves creation dates, source integrations, and whether NLP clustering has completed. Get metadata and processing status for a specific dataset

get_sentiment_analytics

Returns a distribution of positive, neutral, and negative sentiment scores across the dataset records. Retrieve a summary of sentiment across the entire dataset

list_analysis_datasets

Returns dataset metadata including names, record counts, and current processing status for NLP analysis. List all conversation datasets uploaded for analysis

list_available_nlp_models

g., sentiment, intent, clusterers) that can be applied to datasets for analysis. List NLP models available for conversation categorization

list_connected_sources

Returns a list of connected external platforms, their synchronization status, and the volume of data ingested from each. List external data sources (e.g. Zendesk, Intercom) connected to Deep Talk

list_conversation_clusters

Returns groups of semantically similar conversations identified through unsupervised learning, including cluster sizes and representative keywords. List clusters of similar conversations identified in a dataset

list_extracted_topics

Returns a list of identified themes with their respective prevalence and importance scores within the specified dataset. List key topics and themes extracted from the conversation data

list_processing_tasks

Returns a list of active processing jobs, including ingestion and NLP analysis tasks, and their current completion percentages. List current data processing and analysis tasks

search_topics_by_keyword

Identifies and returns themes that match the provided search term. Search for specific topics or themes within a dataset

Example Prompts for Deep Talk in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Deep Talk immediately.

"List all conversation datasets currently processed."

"Show me the top topics identified in the 'Customer Feedback' dataset."

"What is the sentiment summary for our recent support interactions?"

Troubleshooting Deep Talk MCP Server with VS Code Copilot

Common issues when connecting Deep Talk to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Deep Talk + VS Code Copilot FAQ

Common questions about integrating Deep Talk MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.