# MCP server registry
MCP (Model Context Protocol) servers let LLMs interact with external tools and services. Workato provides a registry of prebuilt MCP servers that you can add to your projects. You can configure available tools, create custom tools with skill recipes, and control access through user provisioning and rate limits.
Prebuilt MCP servers enable you to quickly add app-specific toolsets to your LLM.
# Use a prebuilt MCP server
Prebuilt MCP servers must be added in Workato and in your MCP client, such as Cursor, ChatGPT, or Claude.
# Install a prebuilt MCP server in Workato
Complete the following steps to install a prebuilt MCP server in your Workato project:
Sign in to your Workato account.
Go to AI Hub > MCP servers.
Click + Create MCP server.
Go to the Start with a template section and select the template you plan to use.
Go to the Start with a template section
Click Use this template.
Provide a name for your MCP server in the MCP server name field.
Use the Location drop-down menu to select a location for your MCP server.
Go to the Connections section and connect to your app account.
Select the connection type you plan to use for the prebuilt MCP server.
- User's connection: MCP server tools perform actions based on the identity and permissions of the user who connects to the application. Users authenticate with their own credentials to execute the skill.
- Your connection: This option uses the connection established by the recipe builder and follows the same principles as normal app connections.
VERIFIED USER ACCESS REQUIRES OAUTH 2.0
Only app connections that use OAuth 2.0 are available for user's connection. Refer to Verified user access for more information.
Use the MCP server registry to find app-specific connection documentation.
# LLM-facing MCP server description
Prebuilt MCP servers include a default MCP server description with detailed information. This description is automatically shared with your LLM when you connect the MCP server. You can update the description for your specific use cases and to include any tool customization you perform.
# Edit LLM-facing MCP server description
Complete the following steps to edit the MCP server description shared with your LLM:
Sign in to your Workato account.
Go to AI Hub > MCP servers.
Select the MCP server where you plan to edit the LLM-facing MCP server description.
Go to the Description section and click the edit icon.
Update the description.
Update the LLM-facing description
Click the save icon.
# Add a prebuilt MCP server to an AI model
Refer to AI model configuration for instructions on how to add and configure your MCP server in an AI model, such as Cursor, Claude, or ChatGPT.
# Manage MCP server tools
View and manage your MCP server tools in the Overview page Tools section. Tool management provides the following capabilities:
TOOLS MUST BE STARTED
Your LLM can only access active tools in your MCP server connector.
# Add users to an MCP server
You can provision end users with access to your MCP server. Refer to Workato Identity for more information.
# Configure MCP server limits
You can add custom rate limits, usage quotas, and IP restrictions for your MCP server.
Rate limits control request frequency and prevent traffic bursts.
Refer to Configure MCP server limits for more information.
Last updated: 1/28/2026, 8:31:02 PM