AI-Native Talent Intelligence for Copilots and LLMs
Access global labor market data through the Model Context Protocol (MCP).
By filling up this form, you agree to allow Draup to share this data with our affiliates, subsidiaries and third parties
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 copilots and 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 Copilot or MCP Client Settings
Navigate to where your copilot or LLM-based HR assistant configures MCP servers (for example, in your OpenAI GPT configuration, Anthropic Claude workspace, or Microsoft Copilot Studio).
2
Register Draup as an MCP Server
Add a configuration block referencing your Draup MCP endpoint and credentials
3
Refresh Your Copilot or LLM Environment
Save the configuration and refresh or restart your copilot app. You’ll see “Draup MCP Talent Server” listed among available data sources.
4
Run Your First Query
Try asking:
“Show me emerging AI and cybersecurity skills in India and Europe.”
“What roles are declining in demand across the automotive sector?”
“Find internal talent that matches new AI Engineer job openings.”
Your copilot will fetch live workforce intelligence from Draup’s governed MCP dataset.
5
Start Building Custom Copilot Flows
Integrate Draup MCP queries into your HR analytics dashboards, internal GPTs, or Power Automate workflows, turning every workforce planning conversation into an AI-powered insight moment.
Example: AI Powered Skills Trends Analysis
Prompt:
You are an HR analyst. Summarize the top five skills gaining demand in {{industry}} over the last {{time_window}}, highlighting growth rates and emerging regions.
Request to MCP:
Find the top five emerging skills in the semiconductor industry over the past quarter
Output:
Ranked profiles with the task and skill evidence, level alignment, and location fit
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.
By filling up this form, you agree to allow Draup to share this data with our affiliates, subsidiaries and third parties
Impactful insights, delivered real-time
Access insights via APIs, custom feeds, or the Draup platform
APIs & Integrations
Best for
Embedding live insights in workflows without storing data
- Native integrations with 33+ HCM, HRIS, ATS and more, like Workday, SAP Successfactors, etc.
- Real-time access to critical data
- Enhanced security and data Integrity
- Efficient API performance with flexible limits
Custom Data Feed
Best for
Analytics at scale & joining Draup with internal data
- Highly customizable feeds for workflow needs
- Scheduled pushes to data lakes/warehouses (S3, ADLS, BigQuery, SFTP)
- Scalable use cases with the data
- Integrates with internal data assets for co-pilots/agents
Draup Platform
Best for
Fastest time-to-value,
no build required
- Ready-to-use UI with 200+ productized use cases & workflows
- Leverage visualizations & workflows to drive seller action with no overhead
- Enterprise controls: SSO, RBAC, governance
- Integrates UI & functionality into CRM apps
Unparalleled global labor market data
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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.
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