Documentation
Everything you need to connect AI agents to MCP servers through AppXen.
Orchestrator Quickstart
Create your first multi-agent workflow and run it in minutes.
Gateway Quickstart
Create an API key and connect your first MCP server.
RAG Engine Quickstart
Upload your first document and run a semantic search query.
Install the CLI
Manage workflows and knowledge from the terminal.
Agent Orchestrator
Quickstart Guide
Create your first workflow, compile it, and run an execution
MCP Tool Integration
NewGive agents access to RAG search, media storage, GitHub, Slack, and any MCP server
Workflow Markdown DSL
Frontmatter, agents, steps, dependencies, parallel execution, loops, and approval gates
API Reference
REST API endpoints for workflow CRUD, execution, and monitoring
Model Registry
Supported models, logical names, and tier-based pricing
Console Guide
Using the dashboard editor, workflow gallery, and execution monitoring
Billing & Pricing
Token tiers, workflow executions, cost examples, and tips for managing costs
MCP Gateway Pro
Quickstart Guide
Subscribe, create an API key, and connect your first server
Connecting MCP Servers
Add remote MCP servers like GitHub, Neon, Supabase, and more
API Reference
MCP protocol endpoints, authentication, and response formats
Media & Storage
Upload documents, images, and videos for your AI agents to access
Extensions & Built-in Services
NewEnable managed integrations like CloudWatch, and use built-in RAG and Media Storage
Using with Claude Desktop
Configure Claude Desktop to use your MCP Gateway
RAG Engine
Getting Started
Upload your first document and run a semantic search query
How It Works
The ingestion pipeline: upload, parse, chunk, embed, index, search
Supported Formats
PDF, DOCX, HTML, Markdown, CSV, JSON, images, and more
Billing & Pricing
Per-GB storage pricing with parsing, embedding, and unlimited search included
API Reference
REST API endpoints and MCP tool definitions