AI-Ready in Minutes

Connect Once

Establish MCP connectivity between Draup Data Shares and your AI environment (copilots, LLM agents, research assistants).

Query Naturally

Models request insights on demand, whether it’s job market shifts, compensation benchmarks, outsourcing data, buying signals or talent flows.

Stay in Sync

MCP ensures your AI applications always access the most current Draup data, without re-ingestion or manual refreshes.

Scale with Confidence

Handle enterprise-level query volumes while keeping your AI assistants fast and reliable.

Future-Proof

As AI ecosystems standardize around MCP, Draup ensures your data remains ready for next-gen applications.

Secure by Design

Enterprise-grade authentication, encryption, and role-based controls protect sensitive intelligence.

Get Started
in Under 2 Minutes

1

Open Your MCP-Enabled Copilot or CRM Assistant

Access the settings section for configuring MCP servers — available in most modern copilots, including ChatGPT Enterprise, Anthropic Claude, or Microsoft 365 Copilot.

2

Register the Draup MCP Sales Endpoint

Add Draup as an MCP server to enable live sales and market context.

3

Refresh or Restart Your AI Environment

Once saved, your copilot will automatically detect the new Draup MCP Sales Server, ready to deliver real-time prospect and account insights.

4

Run Your First Query

Try asking: 
“Find companies that opened R&D centers in Southeast Asia this quarter.”
“Show new VPs of Engineering hired by Series A fintech startups.”
“List firms adopting Kubernetes or Snowflake in the last 90 days.”

Your copilot instantly retrieves verified Draup data without any CSV uploads or API scripting.

5

Power Your GTM Stack

Integrate MCP queries into copilots, assistants, or your custom LLM workflows to enable hyper-personalized outreach at scale.

Create Hyper-Personalized Sales Email

Prompt:

You are an SDR. Draft an opening email referencing {{company_name}}’s recent {{round_type}} round and the hiring of {{new_vp_sales}}.

Request to MCP:

Find all VP of sales from small companies who raised Series A recently

Image of Example Model Context Protocol request

Output:

Your copilot will automatically query Draup’s funding dataset through MCP, delivering verified, up-to-date context, no data engineering required.

Image of Example Model Context Protocol output

Let’s Talk Data.
Your next move depends on it

Your copilot will automatically query Draup’s skills dataset through MCP, delivering verified, up-to-date context, no data engineering required.

Powered by unparalleled global market data

Powering 80+ Machine Learning models and 12+ Psychology models
GRANULAR
AI-enabled data updated continuously, historically available, and regionally relevant.
ACCESSIBLE
Data exchange and APIs, platform or a combination.
PROPRIETARY
Unique taxonomies and methodologies providing insights that drive proven results.
33
Industries
600K+
Outsourced Workflows
8M+
Executives
1000+
Custom Reports
700M+
Job Descriptions
33
Industries
600K+
Outsourced Workflows
8M+
Executives
1000+
Custom Reports
700M+
Job Descriptions
1.6M+
Companies
250K+
Service Providers
900K+
Accounts Priorities
59K+
Technology Solutions
1000+
Custom Reports
1.6M+
Companies
250K+
Service Providers
900K+
Accounts Priorities
59K+
Technology Solutions
1000+
Custom Reports
1.6M+
Companies
250K+
Service Providers
900K+
Accounts Priorities
59K+
Technology Solutions
1000+
Custom Reports
GRANULAR
AI-enabled data updated continuously, historically available, and regionally relevant
ACCESSIBLE
Data shares and feeds, software, professional services, or a combination
PROPRIETARY
Unique taxonomies and methodologies providing insights that drive proven results

Frequently Asked Questions

How does MCP differ from traditional APIs?

MCP is designed specifically for AI consumption, providing semantic context and real-time access without the overhead of REST APIs or webhook management.

What happens if we change AI platforms?

MCP's standardized protocol means your Draup data integration works across any MCP-compatible AI platform without reconfiguration.

Can we control data access at a granular level?

Yes, you can set permissions by data type, AI application, user role, and even specific query patterns.

How quickly do updates flow to our AI applications?

Updates are available immediately through the MCP connection - no batch processing or manual refreshes required.