How to Use the GiveWP MCP in AutoGen

Let your AutoGen agents debate fundraising tactics using GiveWP tools to reach data-driven consensus.

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 AutoGen

Create your Vinkius account to connect GiveWP to AutoGen 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 AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate GiveWP stats with AutoGen

Configure a team of agents where one monitors `get_form_performance` while another analyzes `list_recent_donations`. They negotiate the best strategy based on the data they find. This prevents biased decision-making. The agents challenge each other's conclusions until they agree on the most accurate interpretation of your fundraising health.

Automate GiveWP reporting via consensus

Set up a specialized agent group to handle your reporting duties. The agents use `get_plugin_stats` to generate a report, and a second agent audits the output for accuracy before you see it. This creates a double-check system. You ensure that every stat reported is validated by two independent agents.

Resolve donor issues with multi-agent teams

Use a security agent to check for fraud flags while a support agent uses `find_donor_history` to pull record details. They work together to resolve donor inquiries quickly. This limits manual intervention. You get a final, vetted summary of the donor situation instead of raw, unverified data.

Setup guide

Set up GiveWP MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes GiveWP tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="GiveWP_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent GiveWP data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="GiveWP_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent GiveWP data")
    print(result.messages[-1].content)

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 AutoGen

Use the MCP tool adapter to convert the server tools into a format AutoGen accepts. You then pass this list directly to the AssistantAgent constructor.

Agents in the same group conversation can access the same tool output. Once one agent fetches data with `list_plugin_donors`, the others can debate it.

Your server requires a specific endpoint token. Only agents you explicitly provide with this token can interact with your donation records.

Enable verbose output in your agent group. You will see the exact JSON exchange between the agent and the MCP server for every tool invocation.

We enforce strict isolation for every request. The data is transferred directly to your agent, and the ephemeral sandbox wipes the connection immediately after the task completes.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript