How to Use the GiveForms MCP in AutoGen
Deploy multi-agent AutoGen teams using this MCP Server to audit records and analyze GiveForms donation data automatically.
Works with every AI agent you already use
…and any MCP-compatible client
Connect GiveForms MCP to AutoGen
Create your Vinkius account to connect GiveForms 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.
Let AutoGen agents debate donor records
The `list_recent_donations` tool feeds the latest contributions into your AutoGen discussion loop. AutoGen allows you to set up a multi-agent system where different agents handle different aspects of an audit. One agent can pull records using this tool while another agent cross-checks those names against a blacklist using `find_donations_by_name`. They debate the results in a shared chat channel to ensure accuracy. This consensus-driven approach stops errors before they end up in your accounting software.
Cross-examine donor details using multiple tools
The `find_donations_by_email` tool lets your agents cross-examine and verify specific donor accounts. Your agents can run this tool to locate a donor, then have a separate security agent call `get_donation_details` to verify the transaction ID. If the details don't match, the security agent flags the record for human review. This automated double-check prevents fraudulent records or system glitches from messing up your financial reports. It runs entirely in the background without manual intervention.
Multi-agent coordination for campaign summaries
The `list_campaign_donations` tool collects specific campaign stats for cooperative agent reporting. A reporting agent can call this tool to gather campaign metrics while an admin agent runs `get_organization_info` to get the correct metadata. They compile their findings into a single, verified report. Before finalizing, a supervisor agent can run `verify_api_connection` to ensure the data source remains active and reliable throughout the entire session.
Set up GiveForms 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 GiveForms 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="GiveForms_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent GiveForms 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="GiveForms_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent GiveForms 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 GiveForms. 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 GiveForms MCP in AutoGen
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