How do I get a Donately API Key?

Log in to your Donately dashboard, navigate to **Settings > API Key**, and you can retrieve your unique API Key from there. Ensure you have the necessary permissions within your organization.

Can the agent process new donations?

This integration currently focuses on listing and auditing donations, donors, and campaigns. Processing new donations with credit card details should be managed via your Donately forms or donation pages.

Does the integration show recurring donations?

Yes, you can use the list_all_donations or get_donation_details tools to identify and retrieve information for both one-time and recurring contributions.

Donately MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Donately
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Donately 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({
        "donately": {
            "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 Donately, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Donately MCP Server

Integrate Donately, the simplest online fundraising platform, directly into your AI workflow. Manage your donations and recurring contributions, track donor profiles and lifetime giving, monitor fundraising campaigns and progress, and oversee your fundraisers using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Donately through native MCP adapters. Connect 10 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 Oversight — List and retrieve detailed information and payment status for all your received contributions.
Donor Intelligence — Monitor real-time donor profiles, contact details, and lifetime giving history across your organization.
Campaign Monitoring — Track fundraising campaigns, goals, and current progress metrics to ensure successful outcomes.
Contribution Auditing — Retrieve high-level summaries of fundraising performance and identify your most impactful contributors instantly.

The Donately MCP Server exposes 10 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 Donately to LangChain via MCP

Follow these steps to integrate the Donately 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 10 tools from Donately via MCP

Why Use LangChain with the Donately MCP Server

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

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

Donately + LangChain Use Cases

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

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

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

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

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

Donately MCP Tools for LangChain (10)

These 10 tools become available when you connect Donately to LangChain via MCP:

get_campaign_performance_summary

Retrieve a high-level summary of a specific campaigns performance

get_donately_account_metadata

Retrieve metadata and limits for your Donately account

get_donation_details

Get detailed information for a specific donation

get_donor_profile

Get full profile and giving history for a specific donor

list_active_donors

List all donors registered in your Donately organization

list_all_donations

List all donations received in your Donately account

list_fundraising_campaigns

List all fundraising campaigns configured in Donately

list_highest_lifetime_donors

Identify donors with the highest lifetime contribution totals (mock logic)

list_latest_contributions

Identify the most recently received donations

search_donations_by_email

Search for donations matching a specific donor email address

Example Prompts for Donately in LangChain

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

"List the latest donations received."

"Show me the progress for our 'Summer Relief' campaign."

"Research the donor profile for 'robert.brown@example.com'."

Troubleshooting Donately MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Donately + LangChain FAQ

Common questions about integrating Donately 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.