Deep Talk MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"deep-talk": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns Deep Talk into an in-editor superpower. Ask Cursor to generate code using live data from Deep Talk and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Deep Talk MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Deep Talk
Open Agent mode in chat and ask: "Using Deep Talk, help me...". 10 tools available
Why Use Cursor with the Deep Talk MCP Server
Cursor AI Code Editor provides unique advantages when paired with Deep Talk through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Deep Talk + Cursor Use Cases
Practical scenarios where Cursor combined with the Deep Talk MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Deep Talk MCP Tools for Cursor (10)
These 10 tools become available when you connect Deep Talk to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Deep Talk to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Deep Talk + Cursor FAQ
Common questions about integrating Deep Talk MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Deep Talk with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Deep Talk to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.