# Agent Toolkit & MCP Server

<a href="/pages/UqeEQSrPs30J4qCPlhGj" class="button primary">Agent Quickstart</a> <a href="/pages/DTlZVBKQMm8a4zvB5PhR" class="button primary">Set up an MCP server</a>

### Key features

The PayPal agent toolkit enables you to:

* **Integrate with PayPal APIs** to access orders, invoices, subscriptions, shipment tracking, transaction details, and dispute management through pre-built functions.
* **Develop with your preferred tools**, including:
  * AI agent frameworks like [OpenAI’s Agents SDK](https://github.com/openai/openai-agents-python), [Vercel’s AI SDK](https://sdk.vercel.ai/), [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction), [LangChain](https://www.langchain.com/), and [CrewAI](https://www.crewai.com/)
  * Multiple languages, including TypeScript and Python
* **Build custom agent capabilities** to extend core PayPal features and connect with other toolkits to create multi-step agent workflows.

Model Context Protocol (MCP) facilitates the management and transmission of relevant information to models, ensuring their effective operation within specified contexts. Leveraging this technology, PayPal developed an MCP server that enables merchants to interact with their preferred MCP clients using natural language. This functionality allows users to efficiently perform various business tasks with their choice of MCP client.

Examples in this content use Claude as the MCP client, but you can use any MCP client that you prefer, such as Cursor or Cline.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://paypal.gitbook.com/agent-toolkit-and-mcp-server/agent-toolkit-and-mcp-server.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.