---
title: "How to use the PickFu MCP with AI assistants | PickFu Help Center"
---

# Connection details

The PickFu [Model Context Protocol (MCP)](https://modelcontextprotocol.io) integration lets you create and manage polls directly from AI assistants like Claude, Cursor, and any other MCP-compatible tool — without leaving your AI workflow.

-   **Server URL:** [`https://mcp.pickfu.com/mcp`](https://mcp.pickfu.com/mcp)
    
-   **Authentication:** OAuth (automatic sign-in on first use) or [API key](https://app.pickfu.com/settings/api-keys)
    

# Setup by tool

## Claude (claude.ai, Desktop, and mobile)

Claude connects to remote MCP servers through its **Connectors** feature — no config files needed.

1.  In Claude, click your profile icon (bottom-left), then **Customize**
    
2.  Select **Connectors**
    
3.  Click **+**, then **Add custom connector**
    
4.  Enter a name (e.g., "PickFu") and the URL: [`https://mcp.pickfu.com/mcp`](https://mcp.pickfu.com/mcp)
    
5.  Click **Add**
    

You'll be prompted to sign in to PickFu the first time Claude uses a PickFu tool. On Team and Enterprise plans, an Owner must add the connector first — members can then enable it from Customize > Connectors.

See [Anthropic's custom connectors guide](https://support.claude.com/en/articles/11175166-get-started-with-custom-connectors-using-remote-mcp) for details.

## Claude Code (terminal)

Run this command in your terminal:

claude mcp add pickfu --transport http https://mcp.pickfu.com/mcp

Then type `/mcp` inside Claude Code to verify the connection and complete OAuth sign-in.

See [Claude Code MCP documentation](https://code.claude.com/docs/en/mcp) for more options.

## Cursor

**Option A — Settings UI:**

1.  Open Cursor Settings and select **MCP** in the sidebar
    
2.  Click **Add new MCP server**
    
3.  Set type to **Streamable HTTP** and enter the URL: [`https://mcp.pickfu.com/mcp`](https://mcp.pickfu.com/mcp)
    
4.  Click **Save**
    

**Option B — Config file:**

Add the following to `.cursor/mcp.json` in your project root (or `~/.cursor/mcp.json` for all projects):

{  "mcpServers": {    "pickfu": {      "url": "https://mcp.pickfu.com/mcp",      "transport": "streamable-http"    }  }}

See [Cursor's MCP documentation](https://cursor.com/docs/mcp) for details.

## Other AI tools

ChatGPT, Notion, OpenClaw, and other MCP-compatible tools can also connect to PickFu. See the [developer documentation](https://www.pickfu.com/docs/developers/mcp-server) for setup instructions for each tool.

# What you can do

Once connected, you can create and manage polls, retrieve results and AI summaries, generate images, browse audience targeting options, and more — all through natural conversation.

For the full list of tools, usage examples, and troubleshooting, see the [PickFu MCP developer documentation](https://www.pickfu.com/docs/developers/mcp-server).

# FAQs

### Do I need a paid PickFu plan to use the MCP?

No. The MCP integration is available to all PickFu accounts. You'll need to add credits to your PickFu account to publish polls, however.

### Can I use the MCP with other AI tools?

Yes. Any MCP-compatible tool can connect using [`https://mcp.pickfu.com/mcp`](https://mcp.pickfu.com/mcp).

### Can I access polls created in my PickFu dashboard?

Yes. The MCP tools work with any poll in your account.

### Can I attach or drag images into the chat?

Web-based clients like Claude, ChatGPT, and Notion can't pass local files to MCP tools — dragging or pasting an image into the chat won't work. To use your own images, provide a hosted image URL. You can also pass an image URL to the AI and ask it to generate variations. Terminal tools like Claude Code can read local files directly.

### I'm running into issues; how do I submit feedback?

Ask your AI assistant: "Send PickFu feedback about this issue." You can also check the [troubleshooting section](https://www.pickfu.com/docs/developers/mcp-server) in the developer docs.

* * *

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