How to Use the Every.org MCP in AutoGen
Build multi-agent debate teams that evaluate charities and route donations using the Every.org MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Every.org MCP to AutoGen
Create your Vinkius account to connect Every.org 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.
Multi-agent consensus for AutoGen donation flows
The `create_donation` tool executes financial transactions only after your AutoGen agents reach a mutual agreement. You set up an AutoGen budget agent to check financial limits while a program agent reviews the nonprofit's Every.org profile. Once both AutoGen agents approve the target charity, the system calls the Every.org donation tool. This multi-agent verification prevents accidental payouts and ensures all transactions align with your pre-defined giving guidelines.
Collaborative fundraising setup with AutoGen agents
The `create_fundraiser` tool allows your AutoGen agent team to spin up new campaigns based on group consensus. An AutoGen copywriter agent drafts the campaign pitch, while a compliance agent verifies the target EIN using `get_nonprofit_by_ein`. After the AutoGen agents negotiate the final details, the adapter executes the Every.org tool call. This collaborative loop ensures that every fundraiser created is fully vetted before going live.
Verified charity vetting via AutoGen agent debate
The `get_nonprofit` tool feeds structured organizational data into your AutoGen agent conversations. One AutoGen agent analyzes the nonprofit's financial health, while another reviews its active programs using `list_donations`. The AutoGen agents debate the charity's impact using real-time data returned by the Every.org tool. This process replaces manual research with automated, multi-perspective evaluations.
Set up Every.org 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Every.org tools and returns structured results.
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="Every.org_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Every.org data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Every.org_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Every.org data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Every.org. 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.
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Common questions about Every.org MCP in AutoGen
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