Knit MCP

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name: Knit MCP digest: Connect AI agents to 200+ SaaS apps with a single unified MCP server powered by Knit author: Knit homepage: https://www.getknit.dev/products/mcp-servers capabilities: prompts: true resources: false tools: true tags:

• integrations
• remote mcp servers
• automation
• ai-agents icon: https://cdn.prod.website-files.com/6347ea26001f0287c592ff91/649953ef7a9ffe1f3e492b5a_Knit%20Logo.svg createTime: 2025-07-24 featured: true

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Knit is an embedded integrations platform that lets developers and AI systems connect with 200+ business apps — including HRIS, CRM, ATS, Payroll, Accounting, Ticketing, Calendar and more. With Knit MCP, AI agents like Claude, GPT, Cursor or any custom agent gain instant, secure access to these integrations using the Model Context Protocol.

What is Knit MCP?

Knit MCP is Knit’s remote MCP server offering that allows you to create and package your own mcp servers that you can plug into your AI assistants to directly execute real-world tasks like:

• Fetching employee or payslip data from HR tools
• Creating candidates in ATS systems
• Updating invoices in accounting platforms
• Pulling CRM opportunities or contact details
• And much more — with full end-user scoped permissions

It provides a real-time bridge between agents and hundreds of SaaS apps, with a focus on structured, secure, and standardized access to business-critical data.

Supported Apps

You can find the entire list of supported Apps here - https://www.getknit.dev/mcp-servers

How to Use Knit MCP

🔐 Step 1: Sign In to MCP Hub Visit the MCP Hub at https://mcphub.getknit.dev, and log in using Google, Microsoft, or your email.

⚙️ Step 2: Create a New MCP Server Click Create new MCP server.

Choose which applications/tools to include (e.g., BambooHR, QuickBooks).

Click Next.

✏️ Step 3: Configure Your Server Fill in the server details: For example

Name: My Company ATS Server Description: Tools for recruiting workflows

Then click Deploy to provision your server.

🎮 Step 4: Choose Your AI Client Select the client you'll be using with the server. Options include:

Claude

Cursor

Windsurf

Custom client

This choice tailors instructions accordingly.

🚀 Step 5: Grab the secure MCP Server Endpoint After deployment, you’ll get:

MCP endpoint URL, e.g.: https://mcp.getknit.dev/{your-secure-server-token}/sse

Step 6: Connect Your AI Agent Using JSON config or directly through official MCP clients

{
  "mcpServers": {
    "Knit": {
      "url": "https://mcp.getknit.dev/{your-secure-server-token}/sse"
    }
  }
}

Once connected, your AI will see defined tools and can start invoking them (e.g., create a contact in hubspot, create an invoice in zohobooks).

🤝 Need Help? If you hit any roadblocks, reach out via email at [email protected] We’re here to get you up and running smoothly.