How do I get an API Key for Givebutter?

Log in to your Givebutter dashboard, navigate to Settings > Developers > API, and you can generate a new secret API key there.

Can I process live credit card transactions via the agent?

No, this integration is for management and data retrieval. For security, live donor checkouts must still happen through Givebutter's secure forms.

What format should the donation amount be in?

The Givebutter API uses major units for amounts. For example, to record a $10.50 donation, you should provide the decimal value '10.50'.

How do I link a transaction to a specific campaign?

Use the 'campaign_id' parameter in the 'record_offline_donation' tool. You can find your campaign IDs using the 'list_fundraising_campaigns' tool.

Givebutter MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: Givebutter
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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({
        "givebutter": {
            "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 Givebutter, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 Givebutter MCP Server

Connect your Givebutter account to any AI agent to automate your fundraising operations and donor management through the Model Context Protocol (MCP). Givebutter is the modern fundraising platform for nonprofits and changemakers. This MCP server enables you to retrieve donation transactions, manage fundraising campaigns, and synchronize donor profiles (contacts) directly through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Givebutter 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.

Key Features

Donation Oversight — List all donation transactions, fetch detailed metadata including status and timestamps, and monitor your revenue flow instantly.
Campaign Management — Access active fundraising campaigns and events, retrieving detailed configuration and total raised amounts.
Donor Synchronization — Search and list donor profiles, retrieve detailed contact metadata, and programmatically add new donors to your database.
Offline Recording — Record offline donations or external payments programmatically to maintain a unified source of truth for your fundraising.
Recurring Plan Monitoring — List and track configured recurring donation plans to understand long-term donor commitment.
Webhook Visibility — Monitor active webhooks to ensure your internal systems are receiving real-time donation notifications.
Real-time Synchronization — Keep your nonprofit's financial data accessible to your AI assistant without leaving your primary workspace.

The Givebutter 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.

How to Connect Givebutter to LangChain via MCP

Follow these steps to integrate the Givebutter MCP Server with LangChain.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from Givebutter via MCP

Why Use LangChain with the Givebutter MCP Server

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

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

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

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

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

Givebutter + LangChain Use Cases

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

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

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

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

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

Givebutter MCP Tools for LangChain (12)

These 12 tools become available when you connect Givebutter to LangChain via MCP:

get_account_details

Get account identity

get_campaign_details

Get campaign metadata

get_transaction_details

Get transaction metadata

list_donation_transactions

List donations

list_donation_webhooks

List webhook configs

list_donor_contacts

List donor profiles

list_fundraising_campaigns

List active campaigns

list_recent_donations

List last 10 success

list_recurring_plans

List recurring plans

record_offline_donation

Log a donation

sync_donor_contact

Add new donor

verify_api_connection

Check connection

Example Prompts for Givebutter in LangChain

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

"List all successful donations from the last 24 hours."

"Check the progress of our 'Annual Gala' campaign (ID: gala_2024)."

"Log an offline donation of $50.00 from 'Alice Smith' (ID: contact_123)."

Troubleshooting Givebutter MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Givebutter + LangChain FAQ

Common questions about integrating Givebutter MCP Server with LangChain.

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.

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.