How to Use the Donately MCP in AutoGen

Q: Can my AutoGen agents automatically filter Donately lists?

Yes, they can. Agents use tools like listlatestcontributions and then debate the results to prioritize your follow-up tasks.

Q: Will my AutoGen setup handle Donately API rate limits?

Your agents see the metadata via getdonatelyaccountmetadata to check your current limits. If you hit a ceiling, they can pause and retry based on the account constraints.

Connect the Donately MCP server to AutoGen to let your agents debate donor data and manage fundraising campaigns in real-time.

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Connect Donately MCP to AutoGen

Create your Vinkius account to connect Donately 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.

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Setup Donately with AutoGen

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Agent-driven donor analysis for AutoGen

Your AutoGen agents can now pull raw donor data directly from your account. By using `get_donor_profile` and `list_highest_lifetime_donors`, your agents can identify top contributors without manual queries. This lets your research agents build detailed reports while your strategy agents debate the best outreach path. They stop guessing and start basing their decisions on actual contribution history.

Automated campaign monitoring in AutoGen

Stop checking your dashboard manually. Your agents use `get_campaign_performance_summary` and `list_fundraising_campaigns` to track how your initiatives perform throughout the day. When a campaign hits a snag, your agents can flag it immediately. They compare current intake against your historical benchmarks to decide if you need to pivot your messaging.

Direct donation auditing for AutoGen

Your agents act as your internal accounting team by verifying individual transactions. Using `get_donation_details` and `search_donations_by_email`, they confirm receipt and validate donor intent. This keeps your records clean. Instead of waiting on your dev team to pull logs, your agents handle the lookup instantly, keeping your workflow moving.

Setup guide

Set up Donately 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 Donately 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="Donately_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

You install the MCP extension and point your agent to the Vinkius endpoint. Once connected, the `mcp_server_tools` function makes the Donately toolset available to your agents for immediate use.

Yes, they can. Agents use tools like `list_latest_contributions` and then debate the results to prioritize your follow-up tasks.

Your agents see the metadata via `get_donately_account_metadata` to check your current limits. If you hit a ceiling, they can pause and retry based on the account constraints.

The MCP server uses an ephemeral sandbox managed by Vinkius. Only your authenticated endpoint token touches the data, ensuring your donor records remain isolated from other processes.

It processes donation amounts, donor contact details, and campaign performance metrics. These sensitive fields are accessed only when your agents invoke specific tools to retrieve profile information.

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