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GiveWP MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect GiveWP through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to GiveWP "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in GiveWP?"
    )
    print(result.data)

asyncio.run(main())
GiveWP
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About GiveWP MCP Server

Connect your GiveWP (WordPress plugin) account to any AI agent to automate your donation data extraction and fundraising reporting through the Model Context Protocol (MCP). GiveWP is the most popular WordPress plugin for online giving. This MCP server enables you to retrieve donation forms, track individual donor profiles, and monitor real-time fundraising statistics directly through natural conversation.

Pydantic AI validates every GiveWP tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

Key Features

  • Form Oversight — List all donation forms published on your WordPress site and fetch detailed configuration metadata and goal progress.
  • Donation Management — List all donations processed via the plugin, with support for filtering by specific forms or donors.
  • Donor Discovery — Retrieve detailed profile metadata for your unique donors and search across their giving history.
  • Real-time Analytics — Fetch high-level earnings and donation count statistics for your entire site or individual forms.
  • Read-only Security — Safely query your WordPress donation database with a secure integration designed for data visibility.
  • Plugin Transparency — Access high-level plugin metadata to verify API connectivity and account health.
  • Real-time Synchronization — Keep your self-hosted fundraising data accessible to your AI assistant without leaving your primary workspace.

The GiveWP MCP Server exposes 9 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect GiveWP to Pydantic AI via MCP

Follow these steps to integrate the GiveWP MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 9 tools from GiveWP with type-safe schemas

Why Use Pydantic AI with the GiveWP MCP Server

Pydantic AI provides unique advantages when paired with GiveWP through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your GiveWP integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your GiveWP connection logic from agent behavior for testable, maintainable code

GiveWP + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the GiveWP MCP Server delivers measurable value.

01

Type-safe data pipelines: query GiveWP with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple GiveWP tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query GiveWP and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock GiveWP responses and write comprehensive agent tests

GiveWP MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect GiveWP to Pydantic AI via MCP:

01

find_donor_history

Search by donor

02

get_form_details

Get form metadata

03

get_form_performance

Get form stats

04

get_plugin_stats

Get general stats

05

list_donation_forms

List all forms

06

list_plugin_donations

List all donations

07

list_plugin_donors

List all donors

08

list_recent_donations

List latest records

09

verify_api_connection

Check connection

Example Prompts for GiveWP in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with GiveWP immediately.

01

"List all active donation forms on my website."

02

"Show me the donation history for donor 'jane@example.com'."

03

"Get the fundraising stats for the 'Annual Fund' form (ID: 987)."

Troubleshooting GiveWP MCP Server with Pydantic AI

Common issues when connecting GiveWP to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

GiveWP + Pydantic AI FAQ

Common questions about integrating GiveWP MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your GiveWP MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect GiveWP to Pydantic AI

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.