How to Use the GiveWP MCP in Pydantic AI

Q: Can I use GiveWP with Pydantic AI for donor tracking?

Yes, define a donor model in your code. When you call listplugindonors, the agent populates your model with the retrieved records.

Q: Are GiveWP donation forms validated at runtime?

Yes, every call to getformdetails is validated. This ensures your agent always works with valid form metadata.

Q: What is the best way to verify the GiveWP connection?

Run verifyapiconnection at the start of your agent task. It returns a status object that you can validate against your schema.

Strictly typed GiveWP data for Pydantic AI. No hallucinations, just validated donation records.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect GiveWP MCP to Pydantic AI

Create your Vinkius account to connect GiveWP to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup GiveWP with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-safe GiveWP donation lookups

Every response from `list_plugin_donations` gets validated against your Pydantic models. You get clean, typed data in your agent code. If the API returns a malformed record, the agent crashes before it can process bad data. It keeps your pipeline predictable.

Reliable form performance data

Use `get_form_performance` to bring stats into your agent. The runtime validation ensures that every number matches your expected schema. This prevents runtime errors during analysis. Your agent relies on accurate inputs to calculate campaign success.

Execute GiveWP actions with confidence

The MCP Server connects to your agent via the Pydantic AI toolset. You define the schema, and the tools adhere to it strictly. It removes the ambiguity of standard JSON responses. You know exactly what fields are available because your code defines the contract.

Setup guide

Set up GiveWP MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "givewp-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to GiveWP tools.",
)

result = await agent.run("List recent GiveWP transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GiveWP. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect GiveWP now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about GiveWP MCP in Pydantic AI

The framework compares every tool return value against your defined Pydantic models. If the GiveWP data structure shifts, your agent catches the mismatch immediately.

Yes, define a donor model in your code. When you call `list_plugin_donors`, the agent populates your model with the retrieved records.

Yes, every call to `get_form_details` is validated. This ensures your agent always works with valid form metadata.

Run `verify_api_connection` at the start of your agent task. It returns a status object that you can validate against your schema.

The system keeps your donor records within a zero-trust, ephemeral sandbox. No data persists on the server after your session ends.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.