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What Are MCPs?

MCPs (short for Model Context Protocol) are a powerful way to connect AI agents like Julius to external data sources and tools. Think of them as secure bridges that allow AI to access live information from databases, file systems, APIs, and other applications, enabling real-time integration with your existing tools and data rather than being limited to the AI’s training knowledge. Each MCP consists of:
  • Tools: Specific actions Julius can perform (e.g., search your files, query a database, send a Slack message)
  • Server: The application or service that makes these tools available to Julius
MCPs allow Julius to connect directly to your existing tools and services, expanding what it can do- like accessing your company’s data, automating tasks, or integrating with the software you already use.

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How MCPs + Data Connector Work Together

Here’s how to set up and use MCP servers:
  1. Connect Your MCP Server
    • Go to your Julius workspace settings and add an MCP server via the Data Connector Settings Page
    • Authenticate using OAuth or API key, just like other data connectors
  2. Use the Available Tools
    • Once connected, Julius can access all the tools that MCP server provides
    • These tools work alongside your other data connectors - you can use them together in the same conversation
    • Julius will automatically know when to use MCP tools based on what you’re asking for
  3. Seamless Integration
    • MCP tools appear naturally in your Julius conversations
    • No special interface needed - just ask Julius to do something, and it will use the appropriate tools
    • Works with your existing data sources and workflows

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Connecting your MCP with an Endpoint

When connecting to your MCP, you’ll need to input your endpoint so Julius can access and query the right database. Endpoint = Base MCP server URL
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For example: https://api.example.com/v1/mcp

IMPORTANT: we do not support SSE URL’s at this time e.g. https://api.example.com/v1/sse

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How to Configure your Application to be MCP compatible with Julius AI

To configure your AI application as an MCP to connect to Julius, you’ll need to set up an MCP server:
Visit the Model Context Protocol website for instructions on how to set up an MCP server: https://modelcontextprotocol.io/overview

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Applications requiring an MCP Server setup

NameEndpoint URL
Turkish Tech Labshttps://mcp.turkishtechlab.com
Linearhttps://mcp.linear.app
Canvahttps://mcp.canva.com
Zapierhttps://mcp.zapier.com
Squarehttps://mcp.squareup.com
Listenetichttps://mcp.listenetic.com
Wixhttps://mcp.wix.com
Stripehttps://mcp.stripe.com
Atlassianhttps://mcp.atlassian.com
Intercomhttps://mcp.intercom.com
Waystationhttps://waystation.ai
Simple Scraperhttps://mcp.simplescraper.io
Sentryhttps://mcp.sentry.dev

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Applications not requiring an MCP setup

NameEndpoint URL
Notionhttps://mcp.notion.com
Prismahttps://mcp.prisma.io
Reach out to team@julius.ai for support or to ask questions not answered in our documentation.