Integration StudioMCP Support
The Universal Standard for AI Tool Integration
Connect AI models to external tools, data sources, and APIs. Build once, deploy everywhere.
Model Context Protocol
6
Server Types
40+
Connectors
AI
Tool Creation
Secure
By Design
What is MCP?
The Model Context Protocol (MCP) is like a "USB-C port" for AI applications—a universal standard that lets AI models securely connect to any external system. Instead of building custom integrations for each tool, MCP provides a single, standardized interface.
Access Tools
Call APIs, query databases, execute functions
Retrieve Context
Fetch data from your organization's systems
Perform Actions
Create, update, delete across services
Stay Secure
Fine-grained control over agent capabilities
How It Works
How MCP Works
From data sources to AI-powered actions in four steps
1
Data Sources
Native Connectors
OpenAPI Specs
External MCP Servers
Python Functions
2
MCP Server
Tool Configuration
Authentication
Schema Mapping
Access Control
3
MCP Tools
Functions
Input Parameters
Output Schemas
Execution Logic
4
AI Agent
LLM Model
Reasoning Engine
Tool Execution
Action Output
Step 1: Connect sources
Step 2: Configure server
Step 3: Generate tools
Step 4: Agent uses tools
MCP Server Types
FlowGenX supports six ways to create MCP servers, each optimized for different integration patterns:
Native MCP Servers
FlowGenX-managed connectors for enterprise databases, CRMs, and cloud services.
PostgreSQLSnowflake+40
OpenAPI MCP Servers
Import any OpenAPI/Swagger spec from API Workspace or upload directly to auto-generate tools.
OpenAPI 3.0SwaggerAPI Workspace
MCP Composer
Build custom MCP servers from scratch with full control over tools, authentication, and logic.
CustomFull ControlWizard
External Hosted
Connect to MCP servers hosted anywhere via URL. Import tools from any MCP-compatible endpoint.
HTTP/SSECloudDiscovery
External Stdio
Launch MCP servers via CLI commands. Perfect for local tools and command-line integrations.
CLILocalProcess
Python Tools
Create custom tools with Python functions. AI-assisted code generation builds tools in seconds.
PythonAI-AssistedCustom Logic
AI
Why MCP?
Interoperability
MCP is an open standard adopted by Anthropic, OpenAI, Google, and more. Build once, use everywhere.
Security First
Credentials never exposed to AI models. Fine-grained access control and audit logging built-in.
Rapid Development
Import existing APIs or use AI to generate tools. Go from idea to production in minutes.
Full Control
Configure rate limits, timeouts, retries, and caching. Monitor usage with built-in logging.
Quick Start Guide
Choose Your Integration Path
Select the approach that best fits your use case