MCP

Model Context Protocol (opens new window) (MCP) is an open protocol that standardizes connections between large language models (LLMs) and APIs.

FEATURE AVAILABILITY

MCP is available to all users in the US and EU data centers. MCP models are hosted in the US and EU data centers and respect data residency requirements. Contact your Customer Success representative if you're interested in using MCP.

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 connect 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.

• Workato Developer API MCP enables AI-powered developer environments like Claude Desktop and Cursor to programmatically access your Workato workspace.

• MCP verified user access enables your MCP servers to use authenticated end-user credentials for external API calls instead of static tokens.