Build AI agents that query your databases via MCP servers. Automate workflows with schedules, webhooks, and file triggers. Embed AI chat widgets on any website — all from a visual interface. Use our cloud or deploy on your own infrastructure.
Point Orckai at your database or API. We auto-generate an MCP server that gives AI secure, permission-controlled access to your data.
PostgreSQL → MCP Server → Docker
Create AI agents and workflows visually. Add triggers, conditions, inline prompts, code steps, and MCP tool calls. No programming required.
Schedule → Query → AI → Email
Go live instantly on our cloud, or deploy to your own servers via Docker. Embed AI widgets on your website. Monitor every execution in real time.
SaaS cloud • Self-hosted • Your choice
Each product stands on its own. Together, they're an AI powerhouse.
Create autonomous agents that reason, plan, and execute multi-step tasks. Choose from 19+ models across Claude and GPT. Standard mode for fast responses, Super mode for deep reasoning.
Attach MCP servers, knowledge bases, web search, email, Jira, and more. Agents decide when and how to use tools — query databases, search documents, create tickets, send emails — all autonomously.
Upload your documents and give AI perfect memory. 50+ file types supported — PDFs, Word, Excel, PowerPoint, Markdown, CSV, JSON, and more. Agents answer with inline citations from your documents.
Add an AI chat assistant to any website in 5 minutes with a single script tag. Connected to your knowledge base and MCP servers, it answers questions with citations. 70% ticket deflection, 24/7 availability.
Authenticate widget users with JWT assertions from your backend. Domain whitelisting, per-widget rate limits, per-IP abuse prevention, and daily token budgets protect your deployment.
See who's chatting, what they're asking, and how your AI performs. Track conversations, monitor visitor geo-location, and review full chat transcripts from the admin panel.
Chain together AI agents, inline prompts, database queries, code execution, and actions into automated pipelines. Trigger on a schedule, via webhook, when a file is uploaded, or manually.
Need custom logic? Describe what you want in plain English and AI writes the JavaScript. Code runs in a secure sandbox at zero LLM cost per execution.
Build on top of Orckai with a full REST API. Manage agents, workflows, knowledge bases, templates, MCP servers, and chat programmatically. Scoped API keys with the oak_ prefix keep your integrations secure.
Connect your database and Orckai auto-generates an MCP server with tools for every table. AI gets secure, permission-controlled access to query, insert, update, and delete data.
Turn any REST API into an MCP server. Enter your API spec or describe your endpoints, and Orckai generates a server that AI agents can call as tools.
Generated MCP servers deploy as Docker containers with automatic networking. They connect to the Orckai network so agents and workflows can reach them instantly.
See the chat icon in the bottom-right corner? That's a live Orckai widget running on this page. It's connected to our knowledge base and can answer questions about the platform.
This exact widget took 5 minutes to set up: create an agent, attach a knowledge base, generate a widget key, paste one script tag.
Every organization's data is fully isolated. AES-256 encryption at rest, row-level security in PostgreSQL, JWT + API key authentication.
Use our managed cloud at orckai.app or self-host on your own servers via Docker Compose — Linux, Windows, on-premise. Monitor with Prometheus and Grafana.
RBAC with role-based permissions and resource-level access control. Full audit logging of every action with IP tracking. Your data is never shared or used for training.
Orckai is a no-code AI automation platform that lets you build intelligent agents, generate MCP (Model Context Protocol) servers for databases and APIs, automate workflows with 7 step types and 4 trigger types, create RAG-powered knowledge bases with 50+ file types, and embed AI chat widgets on any website. Available as a managed SaaS or self-hosted on your own infrastructure, with full multi-tenant isolation, RBAC, and audit logging.
MCP (Model Context Protocol) servers allow AI models to securely access external data sources like databases and APIs. Orckai auto-generates MCP servers from your database connection (PostgreSQL, MySQL, SQL Server, Oracle, MariaDB) or API specs and deploys them as Docker containers. You set table-level and column-level permissions to control exactly what AI can read, write, or delete. Your agents and workflows then use these servers as tools.
Orckai supports 19+ models across Anthropic (Claude Opus, Sonnet, Haiku) and OpenAI (GPT series, o-series reasoning). We keep the model list up to date with the latest releases. Select different models per agent for cost optimization and bring your own API keys.
Yes. Orckai is available as a managed SaaS at orckai.app — just sign up and start building. If you prefer full control, you can also self-host on your own servers via Docker Compose. We support Linux, Windows, and on-premise deployments. Your data never leaves your servers with the self-hosted option.
No. Everything is visual — from creating agents to building workflows to deploying MCP servers. If you need custom logic, our Code Steps let you describe what you want in plain English and AI generates the JavaScript for you. The code runs in a secure V8 sandbox with built-in fetch, JSON, Math, and Date APIs. You can also use Inline Prompt steps to call any LLM directly within a workflow without creating an agent first.
Orckai charges a flat monthly fee based on your plan tier. You bring your own LLM API keys, so you only pay your actual LLM usage directly to providers (Anthropic, OpenAI, etc.). There are no per-execution fees or hidden charges. Enterprise customers get unlimited usage with on-premise deployment.
Absolutely. Orckai uses AES-256 encryption, row-level security in PostgreSQL, RBAC with role-based permissions, full audit logging with IP tracking, and JWT authentication with hashed API keys. MCP servers have table-level and column-level permission controls. On our managed SaaS, each organization's data is fully isolated. With self-hosted deployment, your data never leaves your servers. The platform is SOC 2 ready and GDPR compliant.
Yes. The Orckai Public API v1 provides REST endpoints covering agents, workflows, knowledge bases, prompt templates, MCP servers, chat, and organization management. Authenticate with scoped API keys (18 granular permissions like agents:read, workflows:execute), and supports rate limits. Create and manage your API keys in the dashboard under Settings → API Keys.
Deploy AI agents, automate workflows, and connect to your data in minutes. No credit card required.