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FundraisingBox MCP Server for LangChainGive LangChain instant access to 14 tools to Check Fundraisingbox Status, Get Campaign, Get Dashboard, and more

Built by Vinkius GDPR 14 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect FundraisingBox 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 FundraisingBox app connector for LangChain is a standout in the Customer Relationship Management category — giving your AI agent 14 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({
        "fundraisingbox": {
            "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 FundraisingBox, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
FundraisingBox
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 FundraisingBox MCP Server

Connect your FundraisingBox account to any AI agent and manage your nonprofit fundraising operations through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with FundraisingBox through native MCP adapters. Connect 14 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 Tracking — List all donations with amounts, donors, campaigns, and payment methods, and filter by campaign
  • Recurring Donations — Monitor all active recurring donation subscriptions with frequency and status
  • Donor Management — Browse all donors with contact info, total donated, and donation count; search by name or email
  • Donor History — Retrieve complete giving history for any donor including amounts, dates, and campaign allocations
  • Campaign Monitoring — List all fundraising campaigns with goals, progress, and donation statistics
  • Donation Forms — View all configured donation form widgets
  • Tax Receipts — Access all generated donation receipts for fiscal reporting
  • Dashboard Analytics — Retrieve aggregate fundraising metrics: total raised, donor count, campaign performance, and trends

The FundraisingBox MCP Server exposes 14 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 14 FundraisingBox tools available for LangChain

When LangChain connects to FundraisingBox through Vinkius, your AI agent gets direct access to every tool listed below — spanning donation-tracking, donor-management, recurring-giving, 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.

check_fundraisingbox_status

Verify connectivity

get_campaign

Get campaign details

get_dashboard

Get fundraising dashboard

get_donation

Get donation details

get_donor

Get donor profile

get_donor_history

Get donor history

list_campaigns

List campaigns

list_donations

List donations

list_donations_by_project

List donations by campaign

list_donors

List donors

list_forms

List donation forms

list_receipts

List donation receipts

list_recurring_donations

List recurring donations

search_donors

Search donors

Connect FundraisingBox to LangChain via MCP

Follow these steps to wire FundraisingBox 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 14 tools from FundraisingBox via MCP

Why Use LangChain with the FundraisingBox MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine FundraisingBox 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 FundraisingBox queries for multi-turn workflows

FundraisingBox + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for FundraisingBox in LangChain

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

01

"Show the fundraising dashboard and which campaigns are closest to reaching their goals."

02

"Search for donor 'Schmidt' and show their complete donation history."

03

"List all recurring donations and identify which ones have been active for more than a year."

Troubleshooting FundraisingBox MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

FundraisingBox + LangChain FAQ

Common questions about integrating FundraisingBox 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.