BlogWebsiteLinkedin
Integration StudioMCP Support

Native MCP Servers

Pre-built, production-ready MCP servers managed by FlowGenX. Connect AI agents to databases, CRMs, and enterprise systems.

Native MCP Servers
40+
Native Servers
100%
Tested & Secure
5min
Setup Time

FlowGenX Managed

Maintained with guaranteed compatibility

Enterprise Security

Built-in access control & audit logs

Production Ready

Fully tested & optimized at scale

AI-Optimized

Designed specifically for agent workflows

Explore Native MCP Servers

Browse 40+ enterprise-grade MCP servers. Click any server to view detailed documentation, available tools, and integration examples.

Quick Start

Follow these steps to create and deploy your first Native MCP Server

Step 1

Navigate to Builder

Open Agentic Toolkit → MCP Servers and click Create MCP Server

Step 2

Select Connector

Choose "Connectivity Specification" and browse the connector gallery

Step 3

Configure Auth

Set up authentication method and configure rate limits & timeouts

Step 4

Choose Tools

Select which endpoints to expose as MCP tools for your agents

Step 5

Review & Deploy

Verify your configuration and create the MCP server

Step 6

Test & Use

Test tools in Agent Playground and start building with AI agents

Best Practices

Start Read-Only
Begin with query and list operations before enabling create, update, or delete actions
Descriptive Names
Use clear tool names like "list_active_customers" instead of generic "get_customers"
Rate Limiting
Set appropriate limits to prevent agents from overwhelming your data sources
Test Thoroughly
Use the built-in testing interface to verify each tool works correctly
Least Privilege
Only expose the endpoints your agents actually need for their tasks
Monitor Usage
Track tool usage and performance with built-in monitoring and logs

Next Steps

Explore related resources to build more powerful AI agents

MCP Composer

Build custom MCP servers from scratch with full control over tools and logic

Python Tools

Create custom tools with Python functions using AI-assisted code generation

The Universal Standard for AI Tool Integration

Connect AI models to external tools, data sources, and APIs. Build once, deploy everywhere.

OpenAPI Spec to MCP Servers

Import OpenAPI/Swagger specifications to automatically generate MCP tools

Ask AI

FlowGenX Documentation

How can I help you?

Ask me anything about FlowGenX AI - workflows, agents, integrations, and more.

AI responses based on FlowGenX docs