How to Use the Donately MCP in LangChain

Q: How do I connect the Donately MCP Server to LangChain?

Install the langchain-mcp-adapters package. You then instantiate the server client using the HTTP transport option and pass those tools into your agent creator.

Q: Can a LangChain agent create Donately records automatically?

Yes, the agent uses createdonation to write new transaction records. It reads parameters from your chain's input to populate the API payload.

Q: How do I handle pagination when listing active fundraisers?

You pass limit and cursor arguments to listfundraisers using the MCP client. The agent processes these pages in a loop until it collects all records.

Run multi-step fundraising pipelines directly inside your LangChain agent.

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Connect Donately MCP to LangChain

Create your Vinkius account to connect Donately to LangChain 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 LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run chain-linked donor lookups in LangChain

The `get_person` tool fetches donor profiles by ID to feed directly into your next chain link. Your agent queries this endpoint, extracts the contact info, and passes it to the next node without manual intervention. LangChain tracks these multi-step transitions using this MCP Server via LangSmith. You see exactly when `list_people` runs and how that output feeds into subsequent API requests.

Automate subscription audits with this MCP Server

The `list_subscriptions` tool pulls active and failing recurring donations directly into your agent's context. By routing this list through a ReAct agent, you flag failed cards and trigger recovery flows. Developers configure these runs to check for subscription decay on a schedule. The agent matches `get_subscription` data against your database to keep records in sync.

Track live campaign performance in real-time

The `list_campaigns` tool retrieves your current fundraising efforts to evaluate progress. Your pipeline feeds this raw data into analysis chains to calculate donor conversion rates. Using `get_campaign` alongside `list_donations` gives your agent the exact numbers needed for performance updates. You bypass manual exports and spreadsheet calculations entirely.

Setup guide

Set up Donately MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Donately tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "donately-alternative-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Donately transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

Install the `langchain-mcp-adapters` package. You then instantiate the server client using the HTTP transport option and pass those tools into your agent creator.

Yes, the agent uses `create_donation` to write new transaction records. It reads parameters from your chain's input to populate the API payload.

Every tool call made by the server gets logged in your LangSmith dashboard. You monitor latency, payload sizes, and tool inputs in real-time.

You pass limit and cursor arguments to `list_fundraisers` using the MCP client. The agent processes these pages in a loop until it collects all records.

Your donor records, subscription details, and donation amounts stay inside the V8 sandbox during execution. Vinkius runs this server as an ephemeral process, meaning no donor credentials or transaction histories are stored on the host.

Use it with your favorite AI tools

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