> ## Documentation Index
> Fetch the complete documentation index at: https://docs.crossmint.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Using AI Assistants

Integrate faster with Crossmint by ingesting the docs into your AI-based code helpers (like Cursor, GitHub Copilot, etc.).

{" "}

<Card title="Markdown docs" icon="book" iconType="duotone" href="https://docs.crossmint.com/llms-full.txt">
  AI assistant ready docs
</Card>

## Integrate with Cursor

1. Navigate to Cursor Settings > Features > Docs

2. Select "Add new doc" and paste the following URL:

```
https://docs.crossmint.com/llms-full.txt
```

3. Use `@docs -> Crossmint` to reference Crossmint's docs in your code.

***

> To find navigation and other pages in this documentation, fetch the llms.txt file at: [https://docs.crossmint.com/llms.txt](https://docs.crossmint.com/llms.txt)

## Crossmint Docs MCP Server

### Overview

Model Context Protocol (MCP) is a standard that enables AI agents to connect quickly and efficiently to external tools or data sources.

### Server Details

Instead of loading the entire documentation with every interaction, the server receives your query and returns only the most relevant sections.

* **Name:** Crossmint Docs
* **URL:** [https://docs.crossmint.com/mcp](https://docs.crossmint.com/mcp)
* **Transport:** Streamable HTTP

### Installation

<Tabs>
  <Tab title="Claude Code">
    Run the following command in your terminal:

    ```bash theme={null}
    claude mcp add --transport http crossmint-docs https://docs.crossmint.com/mcp
    ```
  </Tab>

  <Tab title="Cursor">
    Add it globally by opening the command palette (`Cmd/Ctrl + Shift + P`) and selecting `> Cursor Settings > Tools & MCP > Add Custom MCP`:

    ```json theme={null}
    {
        "mcpServers": {
            "Crossmint Docs": {
                "type": "http",
                "url": "https://docs.crossmint.com/mcp"
            }
        }
    }
    ```
  </Tab>

  <Tab title="VS Code">
    Add it globally by opening the command palette (`Cmd/Ctrl + Shift + P`) and selecting `MCP: Open User Configuration`:

    ```json theme={null}
    {
        "servers": {
            "Crossmint Docs": {
                "type": "http",
                "url": "https://docs.crossmint.com/mcp"
            }
        }
    }
    ```
  </Tab>
</Tabs>

### Usage

Once you have configured and connected the MCP Server, your agent will have access to a single tool called `SearchCrossmintDocs`. This tool allows it to search through the Crossmint documentation to find relevant information, code examples, API references, and guides.

**Example queries (input):**

* "How to create non-custodial wallets for my users"
* "How to get a staging API key"
* "Does Crossmint support Solana?"
* "How to implement transfer webhooks?"

**Example output:**

A list of results that includes the following fields: Title, Link, and Content, along with code examples when available.

```json theme={null}
{
    "results": [
        {
            "title": "Server Wallets Quickstart",
            "link": "https://docs.crossmint.com/solutions/story-protocol/wallets/server-side-wallets",
            "content": "In this quickstart, you will create new user wallets on Story...",
            "codeExample": "const response = await fetch('https://staging.crossmint.com/api/2022-06-09/wallets', {\n  method: 'POST',\n  headers: {\n    'X-API-KEY': '<YOUR_API_KEY>',\n    'Content-Type': 'application/json'\n  },\n  body: JSON.stringify({\n    type: '<WALLET_TYPE>',\n    linkedUser: 'email:user@example.com'\n  })\n});"
        },
        {
            "title": "Amazon Integration Steps",
            "link": "https://docs.crossmint.com/solutions/ai-agents/agentic-commerce/inventory",
            "content": "Create a project in the Crossmint Console...",
            "codeExample": "const crossmintOrder = await fetch(`https://${baseUrl}.crossmint.com/api/2022-06-09/orders`, {\n  method: 'POST',\n  headers: {\n    'X-API-KEY': `${API_KEY}`,\n    'Content-Type': 'application/json'\n  },\n  body: JSON.stringify({\n    recipient: {\n      email: 'john@example.com'\n    },\n    lineItems: [{ productLocator: 'amazon:B00O79SKV6' }]\n  })\n});"
        }
    ]
}
```