MCP

Model Context Protocol (opens new window) (MCP) is an open protocol that standardizes connections between large language models (LLMs) and APIs. An MCP framework provides the following benefits:

• Connects AI to external resources: MCP enables AI models to access external data and tools to improve versatility and capabilities. This allows AI agents to access and manipulate data to perform complex tasks.
• Standardizes interactions: MCP provides a consistent way for AI models to communicate with different systems and applications, such as Slack, Jira, or Google Drive.
• Reduces development: MCP's standardization reduces the need for custom integrations for each new data source.

graph LR X(("Client <br/> For example: Claude")) --> Y{{"MCP <br/> servers/adapters"}} B("Slack APIs") C("Jira APIs") D("Google Drive APIs") Y --> B Y --> C Y --> D classDef default fill:#67eadd,stroke:#b3e0e1,stroke-width:2px,color:#000; classDef WorkatoBlue fill:#5159f6,stroke:#5159f6,stroke-width:2px,color:#fff; class Y WorkatoBlue

MCP features

Workato provides the following MCP capabilities:

• MCP Cloud enables you to expose API collection endpoints through a unique, authenticated MCP URL. This feature is hosted by Workato and is independent of APIM to support broader client compatibility.

• MCP Local Servers enable AI models to access and interact with local tools and data sources like files, databases, and APIs.