Custom Integrations via MCP
Model Context Protocol (MCP) enables you to bring your own integrations to DarcyIQ, offering flexibility at both organizational and user levels.
Integration Levels
Organizational MCP
- Standardized integration deployment - Centralized management - Company-wide policies
- Consistent AI experience - Simplified compliance - Shared resources - Central control
User MCP
- Personal integration selection - Custom integrations
- Workflow flexibility - Task optimization - Experimentation freedom - Personal preferences
Feature Integration
DarcyIQ Chat Integration
MCP Integrations are immediately available (and automatically selectd) within DarcyIQ Chat upon configuration.
AI Workflows Integration
MCP Integrations are immediately available, but must be selected and saved within a Workflow.
Workflows require a MCP/Integration be selected as to enforce good behavior and task outcomes for a Workflow
Setup Process
1. Server Setup
- Configure MCP server - Set up authentication - Deploy models
- MCP-compliant server - Authentication system
2. DarcyIQ Connection
- Access integration settings - Configure MCP details - Test connectivity
- Admin access - Server details - Test credentials
3. Configuration
- Set default models - Configure routing - Define fallbacks
- Model preferences - Routing rules - Backup plans
MCP Authentication
DarcyIQ accepts the following requirements for an MCP server:
A remote SSE endpoint
One of Four Authentication requirements
No Auth (not recommended)
Basic User Auth (username/password)
Bearer Token Auth (provide a single token for DarcyIQ to use)
API Key (Access key / Secret key configuration)
Technical Requirements
Server
MCP-compliant implementation
Core functionality
Network
DarcyIQ connectivity
Service access
Security
Authentication credentials
Access control
Best Practices
MCP Selection (many MCP servers are available online)
- Match MCP to tasks - Consider performance needs - Consider the security profile of the MCP server
Optimal performance and reliability
Workflow Optimization
- Pre-deployment testing - Performance monitoring - Configuration tuning
Maximum workflow effectiveness
Learn More
For detailed technical specifications and implementation guides, visit:
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