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 moreβ€”without leaving DarcyIQ.

circle-check

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 APIβ€”MCP Studio makes it possible.

Capability
Description
Benefit

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:

spinner
Step
What Happens
Your Action

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:

Feature
Custom MCPs
Catalog MCPs

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:

Runtime
Language
Best For

Python

Python 3.11+

Data processing, API integrations, automation

Node.js

JavaScript/TypeScript

Web APIs, real-time applications, npm ecosystem

circle-info

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:

1

Navigate to MCP Studio

From the DarcyIQ sidebar, click on MCP Studio to open the builder.

2

Choose Your Path

Select either:

  • My MCPs to create a custom integration

  • MCP Catalog to browse pre-built integrations

3

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:

Feature
How It Works

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

Goal
Documentation

Deploy a pre-built integration

Build a custom integration

Learn about deployment and sharing

View code examples

Troubleshoot issues

Last updated

Was this helpful?