How to Use the GlobalGiving MCP in AutoGen

Enable multi-agent debate on GlobalGiving charity data using AutoGen for consensus-driven project selection.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect GlobalGiving MCP to AutoGen

Create your Vinkius account to connect GlobalGiving 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 GlobalGiving with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate projects with AutoGen agents

Assign one agent to search via `search_nonprofit_projects` and another to critique the findings. They negotiate which initiatives align with your goals. This prevents bias in your selection process. Agents challenge each other's conclusions based on the data they retrieve from the server.

Automate GlobalGiving data negotiation

Let your security agent check for risks while your performance agent pushes for impact. They call `get_charity_details` to resolve disputes about organization longevity. This process happens automatically. You get a final decision backed by a consensus between your specialized agents.

Convert GlobalGiving schemas automatically

The tool adapter handles all schema conversions between the server and your agents. You pass the list directly to the AssistantAgent constructor. This saves you from manual mapping. Your focus stays on defining the interaction rules between your agents rather than managing technical integrations.

Setup guide

Set up GlobalGiving 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 GlobalGiving 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="GlobalGiving_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent GlobalGiving 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="GlobalGiving_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent GlobalGiving 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 GlobalGiving. 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 GlobalGiving 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 GlobalGiving MCP in AutoGen

You provide the tool list to your agents. They decide when to invoke specific functions like `list_projects_by_country` based on their assigned roles.

Yes, you can configure your agent group to share access. They can coordinate their requests to gather a full picture of the nonprofit landscape.

They debate until they reach a consensus. You define the criteria for agreement, and they use the tool data to justify their positions.

You use the streamable HTTP parameters to link your agents to the server. The adapter then ensures all communication flows correctly between the two.

The server keeps your charity and project records isolated. Agents only exchange the specific JSON data required for their negotiation, keeping raw access restricted.

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