Connecting to AgenticFlow MCP

Learn how to get started and plug AgenticFlow into your AI tool.

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This guide walks you through connecting your AI tool to AgenticFlow using the Model Context Protocol (MCP).

You can connect through AgenticFlow's in-app directory of featured AI tools, or by finding AgenticFlow MCP in your AI tool's directory. Other programs that are MCP clients, but don't yet have a directory, can connect manually using AgenticFlow MCP's public URL (https://mcp.agenticflow.ai/mcp) as a custom connection.

Once connected, your tool can request live context from a user's AgenticFlow workspace based on their access and permissions. This includes workflows, agents, and data.

Connect through ChatGPT

1. Log into ChatGPT and enable Developer mode

   
2. In the chat interface, select Developer mode

   
3. Select Add sources and fill in the required information:

   • Name: AgenticFlowMCP

   • MCP Server URL: https://mcp.agenticflow.ai/mcp

   • Authentication: OAuth

   
4. Click Create and ChatGPT will redirect you to https://agenticflow.ai to complete the connection

5. At the connection interface, log in if you haven't already, then select the workspace and project you want to connect, and click Connect

   

Connect through Claude.ai

1. Log into Claude.ai and go to the connectors page

2. Click Add custom connecter and fill in the required information:

   • Name: AgenticFlowMCP

   • Remote MCP server URL: https://mcp.agenticflow.ai/mcp

   
3. Click Add and Claude.ai will redirect you to https://agenticflow.ai to complete the connection

4. At the connection interface, log in if you haven't already, then select the workspace and project you want to connect, and click Connect

   

Connect through your AI tool

To connect, search for "AgenticFlow MCP" in your tool's MCP directory or use these connection methods:

Streamable HTTP (Recommended)

• URL: https://mcp.agenticflow.ai/mcp

Via OAuth

Use this method if your AI tool supports OAuth authentication:

{
  "mcpServers": {
    "AgenticFlow": {
      "url": "https://mcp.agenticflow.ai/mcp"
    }
  }
}

Via Header (API Key, Workspace ID and Project ID)

Use this method if your AI tool supports custom headers. You'll need to provide:

• Your AgenticFlow API Key

• Your Workspace ID

• Your Project ID

To get your Workspace ID and Project ID:

1. Log into AgenticFlow

2. Click on your avatar in the top right corner

3. A modal will appear showing your Workspace ID and Project ID

4. Click to copy each value

JSON config:

{
  "mcpServers": {
    "AgenticFlow": {
      "url": "https://mcp.agenticflow.ai/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>",
        "x-workspace-id": "<YOUR_WORKSPACE_ID>",
        "x-project-id": "<YOUR_PROJECT_ID>"
      }
    }
  }
}

Replace <YOUR_API_KEY>, <YOUR_WORKSPACE_ID>, and <YOUR_PROJECT_ID> with your actual values.

Troubleshooting connection issues

If you're experiencing issues connecting your AI tool to AgenticFlow MCP, here are some common solutions:

1. Check MCP Client Support

   First, verify that your AI tool supports MCP clients and can connect to MCP servers. Not all AI tools have this capability built-in yet.

2. Verify Remote Server Support

   Some AI tools have MCP clients but don't support remote connections.

3. Request MCP Support

   If your AI tool doesn't support MCP at all, we recommend reaching out to the tool's developers to request MCP server connection support. This will help expand the ecosystem of MCP-compatible tools.