MCP Studio
MCP Studio is your all-in-one platform for building, deploying, and managing Model Context Protocol (MCP) integrations. Connect your AI agents to external systems like CRMs, databases, APIs, and moreβwithout leaving DarcyIQ.
New Feature: MCP Studio combines a visual builder, AI-assisted code generation, and a catalog of 50+ pre-built integrations to help you extend DarcyIQ's capabilities in minutes.
What is MCP Studio?

MCP Studio enables you to create powerful integrations that allow DarcyIQ's AI agents to interact with external systems. Whether you want to query a database, update a CRM, send notifications, or connect to any APIβMCP Studio makes it possible.
Build Custom MCPs
Write Python or Node.js code with AI assistance
Complete flexibility for any integration
Deploy from MCP Catalog
Browse 50+ pre-built integrations
Get started in minutes
One-Click Deployment
Deploy to production with a single click
No infrastructure management
Team Collaboration
Share integrations with your organization
Standardized tooling across teams
Real-Time Monitoring
View logs and debug deployed integrations
Troubleshoot issues quickly
How MCP Studio Works
MCP Studio provides a complete workflow for creating and managing integrations:
1. Create
Start a new MCP server or select from the catalog
Choose a template, use AI generation, or pick a pre-built MCP
2. Build
Write and validate your integration code
Edit code, configure secrets, test your tools
3. Deploy
Build and deploy to DarcyIQ's secure infrastructure
Click deploy and monitor progress
4. Connect
Enable the integration for use in Chat and Workflows
Toggle on for Darcy or get manual connection details
5. Monitor
Track usage and debug issues
View real-time logs
Custom vs. Catalog MCPs
Choose the right approach for your needs:
Setup Time
15-30 minutes
2-5 minutes
Code Required
Yes (Python or Node.js)
No (pre-built)
Customization
Full control
Configuration only
AI Assistance
Code generation available
Not applicable
Best For
Unique integrations, proprietary systems
Common tools, standard APIs
Examples
Custom CRM, internal database, proprietary API
Slack, GitHub, popular databases
Supported Runtimes
MCP Studio supports two runtime environments:
Python
Python 3.11+
Data processing, API integrations, automation
Node.js
JavaScript/TypeScript
Web APIs, real-time applications, npm ecosystem
Runtime Auto-Detection: MCP Studio automatically detects your runtime based on your code. No manual configuration needed.
Key Features
AI-Assisted Code Generation
Describe what you want in plain English, and DarcyIQ will generate the code for you:
Natural Language Input: "Create an integration that fetches customer data from Salesforce"
Template-Based Generation: Start from proven patterns
Intelligent Suggestions: Get recommendations as you build
Visual Code Editor
A full-featured code editor built into the browser:
Syntax highlighting for Python and JavaScript
Real-time validation and error detection
Auto-extraction of environment variables
Integrated testing panel
Secure Secrets Management
Keep your credentials safe:
Environment variables stored securely
Never exposed in code
Encrypted at rest and in transit
Easy configuration through the UI
One-Click Deployment
Deploy without managing infrastructure:
Automatic containerization
Secure cloud hosting
Instant availability
Streaming deployment progress
Team Sharing
Collaborate with your organization:
Owner: Full control over the integration
Editor: Can modify and deploy
Viewer: Read-only access
Getting Started
Ready to build your first integration? Here's how to get started:
Navigate to MCP Studio
From the DarcyIQ sidebar, click on MCP Studio to open the builder.
Choose Your Path
Select either:
My MCPs to create a custom integration
MCP Catalog to browse pre-built integrations
Follow the Guide
See MCP Catalog for pre-built integrations or Building Custom MCPs for custom development.
Integration with DarcyIQ
Once deployed, your MCP integrations are available throughout DarcyIQ:
Chat
Integrations are automatically available as tools for the AI
Workflows
Select integrations as steps in your automated workflows
External Access
Connect from external applications using the provided endpoint and API key
Grids and Lead Lists
Enable agents in bulk to leverage your MCP
Next Steps
Deploy a pre-built integration
Build a custom integration
Learn about deployment and sharing
View code examples
Troubleshoot issues
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