Agentic

Agentic is a low-code, no-code platform that enables you to rapidly build and manage powerful AI tools. The term agentic derives from the concept of agency, which refers to the ability to act independently and make informed choices.

Workato's Agentic platform includes the following features:

Agent Studio

Agent Studio is where you build and configure AI agents called genies. Genies perform actions, call workflows, understand context, and execute pre-defined skills to achieve your defined goals.

Genies are AI-powered agents that pursue goals you define, adapt to context, and act across apps and data systems. They operate through the following key components:

• AI model and job description form the brain and instructions of the genie. These components use LLMs to interpret requests, analyze context, make decisions, and generate responses — defining your genie's behavior, persona, and constraints. Genies use Anthropic Claude by default. You can switch to OpenAI GPT or your own LLM connection.
• Chat interface provides the user interface where users can converse with the genie. Supported interfaces include Slack, Microsoft Teams, and Workato GO.
• Knowledge base stores company-specific information, conversation history, and metadata.
• Skills enable interaction with various applications and systems.

Workato Genies

Workato Genies are purpose-built AI agents designed to automate specific business functions. Each genie accelerates development with purpose-built skills, knowledge bases, and app integrations designed for common business workflows.

Workato GO

Workato GO is an end-user interface that unifies AI-driven workflows, knowledge searches, and transactional interactions within a single, cohesive experience. It eliminates the need to switch between disconnected tools, search systems, and workflows.

Key capabilities include:

• Knowledge searches: Combines public resources and multiple third-party applications to find answers across internal data sources like Google Drive, Slack, Confluence, Salesforce, and more.
• Integrated chat: Users interact with agents and enterprise data through a single prompt-driven interface.
• Context-aware routing: Determines whether a query is best served by a genie, a search result, or both.
• Simplified task flow: Forms, approvals, and user confirmations are built into the interface to avoid switching between apps.

MCP

Model Context Protocol (MCP) is an open protocol that standardizes how AI models connect to external systems and data sources. MCP enables you to expose your Workato capabilities, such as API collections, API recipes, recipe functions, and skills, as tools that AI clients can use.

Key benefits of MCP include:

• Connects AI to external resources: AI models can access external data and tools to improve versatility and capabilities.
• Standardizes interactions: Provides a consistent way for AI models to communicate with different systems like Slack, Jira, or Google Drive.
• Reduces development overhead: Standardization reduces the need for custom integrations for each new data source.

Workato provides the following MCP capabilities:

• MCP servers: Enable you to provide Workato capabilities as tools to AI agents through remote, cloud-based MCP servers with unique, authenticated URLs.
• Verified User Access: Enables your MCP servers to use authenticated end-user credentials for external API calls instead of static tokens.
• Workato Developer API and Embedded API MCP: Enables AI-powered developer environments, such as Claude Desktop and Cursor to programmatically access your Workato workspace.

MCP server registry

The Workato MCP server registry provides a trusted framework for integrating AI-enabled tooling into development, automation, and operational workflows, with built-in security and compliance controls. The registry transforms static API models into active agents capable of executing real work.

Many vendor-provided MCP servers are essentially API wrappers that expose a fixed set of actions with no ability to add business logic, enforce custom checks, or adapt tools to your workflows. Workato's registry takes a different approach: it provides a collection of prebuilt MCP servers you can deploy in minutes and fully customize to match your specific use cases.

The MCP server registry includes the following capabilities:

• Add, modify, or remove tools
• Build in logic such as validation steps, conditional routing, or approval flows using skill recipes
• Control access through user provisioning and rate limits
• Tie each agent action to an authenticated user for full traceability

Use Agent Studio, Workato GO, and MCP together

Agent Studio, Workato GO, and MCP connect in several ways:

Genies you build in Agent Studio can be deployed to Workato GO as their chat interface. Workato GO data sources, such as Google Drive or Slack, can feed into genie knowledge bases. Skills you build for genies can be exposed as MCP tools for external AI clients. MCP servers let both genies and external AI clients use the same Workato integrations.