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How to Use the Double the Donation MCP in LangChain

Run multi-step matching gift chains in LangChain using the Double the Donation MCP Server to capture missed donor matches.

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LangChain

Connect Double the Donation MCP to LangChain

Create your Vinkius account to connect Double the Donation 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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Trace matching gift lookups in LangChain

You start by calling `list_donations` to stop guessing which corporate matching programs are paying out. We route donor data straight through your LangChain chains to check employer eligibility instantly. You get complete visibility over this pipeline using LangSmith. When a chain calls `search_company` followed by `get_company`, you can inspect the exact payload, latency, and token cost of each lookup. It makes debugging matching gift logic straightforward because you see precisely where a donor's employer matches or fails.

Automate donation registration in your chains

The `register_donation` tool eliminates manual data entry that kills fundraising momentum. This MCP Server lets your LangChain agents register donations and match requests in one continuous run. You can build complex, multi-step chains that handle edge cases gracefully. If the company returned by `search_company` has subsidiaries, the chain branches to call `list_subsidiaries` to find the parent company's matching policy.

Manage accounts and campaigns dynamically

You read your current setup via `get_organization` to avoid hopping between endless browser tabs. With this integration, your LangChain agent reads your current setup and applies updates using `update_organization` on the fly. The agent can also pull active fundraising campaigns with `list_campaigns` and cross-reference them with matching gift stats. By piping this data directly into your chains, you can automatically adjust match outreach strategies based on real-time campaign performance.

Setup guide

Set up Double the Donation MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Double the Donation tool calls through the MCP protocol.

  4. 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({
    "double-the-donation-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 Double the Donation transactions"
    })
    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 Double the Donation. 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 Double the Donation MCP in LangChain

You define a LangChain agent and pass the tools retrieved via the MCP client. The agent first calls `search_company` to find the correct employer ID, then pipes that ID directly into `register_donation` to log the match. LangSmith tracks this entire sequence so you can monitor the tool inputs and outputs.
Yes. You initialize the `MultiServerMCPClient` with the Double the Donation endpoint alongside your other server URLs. LangChain aggregates all tools, allowing your agent to query donor databases and then query `get_company` or `list_subsidiaries` in a single execution loop.
LangSmith captures every single interaction with the Double the Donation tools, including latency and payload size. If a call to `register_donation` fails due to formatting, you can inspect the exact JSON input in the LangSmith trace to fix the schema mapping.
You should use LangChain's built-in batching or rate-limiting wrappers around the MCP tool calls. When processing bulk records with `list_donations`, configure your chain's concurrency settings to stay within the 360MatchPro API limits.
The server only processes the specific donor names, email domains, and transaction amounts required by `register_donation` and `list_donations`. Vinkius runs this server inside an isolated, zero-trust V8 sandbox, ensuring your API keys and donor records are never exposed or stored.

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