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Vendia MCP Server FAQ

Quick Start Questions

What is Vendia MCP Server?

Vendia MCP Server connects AI applications like Claude (an AI assistant by Anthropic) to your Vendia data through the Model Context Protocol (MCP). It’s a fully managed service that requires no setup on your end.

For detailed information, see our Overview.

Do I need to install or deploy anything?

No installation required! Vendia MCP Server runs as a managed service. Unlike traditional data connectors that demand arduous setup, the Vendia MCP Server operates as a fully managed, cloud-native service. To connect your LLM to your Vendia data:

  1. Find your MCP Server URL in your Uni Settings
  2. Configure your AI application (like Claude) to connect to it
  3. Authenticate when prompted

Full setup instructions are in our Getting Started Guide.

Which AI applications is this compatible with?

Any application supporting the Model Context Protocol, including Claude Desktop, OpenAI-compatible apps, and custom AI applications. See the Overview for compatibility details.

Since this is an open standard, it will work with any future AI applications that implement the MCP protocol as well!

What are some use cases?

Intelligent Business Operations

  • Supply Chain Intelligence: AI agents that can query real-time inventory, orders, and logistics data across your partner network
  • Financial Analysis: LLMs accessing distributed financial data for automated reporting and insights
  • Compliance Monitoring: AI-powered compliance checks across multi-party regulated data

Customer Experience Enhancement

  • Contextual Support: AI assistants with access to real-time customer data, order history, and partner interactions
  • Personalized Recommendations: ML models that can access comprehensive user profiles across partner ecosystems
  • Dynamic Pricing: AI systems that can access real-time market data, inventory levels, and demand signals

Data Product Monetization

  • AI-Ready Data Products: Transform your Vendia data shares into AI-accessible services
  • Partner AI Enablement: Allow partners to integrate their AI tools with your shared data products
  • Marketplace Integration: Connect your data to AI marketplaces and platforms

Configuration Questions

Where do I find my MCP Server URL?

Go to your Vendia Uni dashboard → Uni Settings → Resources → look for “UNI MCP Server URL”.

This URL works for all connection methods (remote, local proxy, or programmatic). See our Getting Started Guide.

Do I need to install anything on my client system?

For modern AI clients like Claude that support remote MCP connections, no installation is required. Simply add the MCP Server URL directly in your client.

For older clients that don’t support remote connections, you’ll need Node.js (v22 LTS or later) and npm to use the local proxy method. See Getting Started - Option 2.

Can I use this with multiple AI applications at once?

Yes! Each AI application authenticates independently and can access data according to its permissions.

Data Access Questions

What types of data can I access?

Operational data through GraphQL operations, analytical data through SQL queries, and file access with metadata. See Overview - Available Tools for the complete list.

Is the data access real-time?

Yes! All queries run against live data with no replication delays.

Security Questions

What permissions does the MCP client have to access my data?

The MCP client inherits permissions based on your authentication method:

  • OAuth (login credentials): The client has access through your default role.
  • API credentials: The client has permissions of the specific role linked to those API credentials.

This follows Vendia’s Role-Based Access Control (RBAC) model. To limit MCP access, you can create API credentials with a restricted role.

How does Vendia MCP Server ensure the security of my data and AI interactions?

We offer enterprise-grade security with OAuth2, encryption, and fine-grained access control.

Fully supports the MCP authorization specification.

Details in Overview - Authentication & Security.

What security features are included?

  • Secure Architecture: Leverages Vendia’s foundational security model, including end-to-end encryption
  • Fine-Grained Access Control: Granular permissions aligned with your existing Vendia node access policies and RBAC configuration.
  • Audit Trail: Complete visibility into all data access patterns and AI interactions

Does the MCP Server store my data?

No! It provides direct access to your data in Vendia Unis. Your data remains in your controlled nodes. More details in Overview - Architecture Benefits.

Multi-Party Data Sharing

How does MCP Server handle data across multiple organizations?

The Vendia MCP Server is uniquely designed to leverage Vendia’s foundational capabilities, providing a secure and unified approach to multi-party data. It ensures your AI applications can intelligently interact with data distributed across various organizations, clouds, and regions through three key mechanisms:

  • Cross-Organization Access: Safely share curated data products with external partners and AI applications
  • Unified Data View: Access distributed data across multiple clouds, regions, and organizations as a single source
  • Real-time Synchronization: AI applications always work with the latest, consistent data state

Performance Questions

Are there any usage limits for using Vendia’s MCP server?

The MCP Server handles typical AI workloads efficiently. For specific limits or high-volume use cases, contact Vendia Support.

Can I use this for bulk data processing?

The MCP Server is optimized for AI use cases rather than bulk processing. For large-scale operations, consider using Vendia’s native APIs directly.

Technical Questions

How is Vendia MCP Server architected to deliver its robust capabilities?

Vendia MCP Server runs as a fully managed service with enterprise-grade security and OAuth2 authentication. See Overview - Authentication & Security for security details.

Can I customize the MCP Server?

It’s a managed service and cannot be customized. For custom integrations, contact Vendia Support.

Getting Help

Can you provide more detailed setup instructions

See our comprehensive Getting Started Guide with:

  • Remote MCP setup (recommended for Claude)
  • Local proxy setup for older clients
  • Programmatic access for AI applications

Can you provide more technical details about the MCP Server?

Check out the Overview for feature explanations, use cases, and available tools.

Who should I reach out to if more technical support is needed?

Contact Vendia Support for assistance with your specific setup or use case.

Where can I learn about Vendia concepts?

Still have questions? The Vendia team is here to help! Contact Vendia Support for assistance with your specific use case.