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Donorbox MCP Server for LangChainGive LangChain instant access to 12 tools to Cancel Recurring Plan, Check Api Health, Create New Donor, and more

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Donorbox through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this App Connector for LangChain

The Donorbox app connector for LangChain is a standout in the Customer Relationship Management category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "donorbox-alternative": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Donorbox, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Donorbox
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Donorbox MCP Server

Connect your Donorbox account to any AI agent and take full control of your nonprofit fundraising and donor engagement workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Donorbox through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Donation Orchestration — List and manage donations programmatically, including filtering by email or campaign and retrieving detailed transaction metadata
  • Donor CRM — Create and update donor profiles programmatically to maintain high-fidelity records of your organization's supporters
  • Recurring Plan Lifecycle — Monitor, pause, resume, or cancel recurring donation subscriptions directly through your agent to streamline supporter management
  • Campaign Intelligence — Access your complete directory of fundraising campaigns to monitor performance and coordinate outreach in real-time
  • Operational Monitoring — Check API connectivity and monitor active webhooks directly through your agent for reliable fundraising operations

The Donorbox MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Donorbox tools available for LangChain

When LangChain connects to Donorbox through Vinkius, your AI agent gets direct access to every tool listed below — spanning online-donations, fundraising, donor-crm, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

cancel_recurring_plan

Cancel a recurring donation

check_api_health

Verify Donorbox API connectivity

create_new_donor

Requires first name, last name, and email. Add a new donor record

get_account_profile

Get authenticated account info

list_configured_webhooks

List active webhooks

list_donations

Can be filtered by email, campaign, or amount. List all donations

list_donors

Can be filtered by name or email. List all donors

list_fundraising_campaigns

List fundraising campaigns

list_recurring_plans

List recurring donation plans

pause_recurring_plan

Pause a recurring donation

resume_recurring_plan

Resume a paused recurring donation

update_donor_info

Modify a donor record

Connect Donorbox to LangChain via MCP

Follow these steps to wire Donorbox into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 12 tools from Donorbox via MCP

Why Use LangChain with the Donorbox MCP Server

LangChain provides unique advantages when paired with Donorbox through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Donorbox MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Donorbox queries for multi-turn workflows

Donorbox + LangChain Use Cases

Practical scenarios where LangChain combined with the Donorbox MCP Server delivers measurable value.

01

RAG with live data: combine Donorbox tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Donorbox, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Donorbox tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Donorbox tool call, measure latency, and optimize your agent's performance

Example Prompts for Donorbox in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Donorbox immediately.

01

"List the last 5 donations in my Donorbox account."

02

"Check recurring plans for donor 'john.doe@example.com'."

03

"Pause the recurring plan with ID 'pln_456'."

Troubleshooting Donorbox MCP Server with LangChain

Common issues when connecting Donorbox to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Donorbox + LangChain FAQ

Common questions about integrating Donorbox MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.