Donately MCP Server for LangChainGive LangChain instant access to 11 tools to Create Donation, Get Campaign, Get Donation, and more
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.
Ask AI about this App Connector for LangChain
The Donately app connector for LangChain is a standout in the Customer Relationship Management category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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-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 Donately, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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
What you can do
- Retrieve and list incoming donations.
- Manage and list your fundraising campaigns.
- Access donor information and contacts.
- Keep track of recurring subscriptions and peer-to-peer fundraisers.
LangChain's ecosystem of 500+ components combines seamlessly with Donately through native MCP adapters. Connect 11 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.
The Donately MCP Server exposes 11 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 11 Donately tools available for LangChain
When LangChain connects to Donately through Vinkius, your AI agent gets direct access to every tool listed below — spanning donations, fundraising-campaigns, donor-management, 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.
Create a new donation
Get details of a specific campaign
Get details of a specific donation
Get details of a specific peer-to-peer fundraiser
Get details of a specific person (donor)
Get details of a specific recurring donation (subscription)
Campaigns are the primary way to organize fundraising efforts. List campaigns for the Donately account
Useful to track incoming contributions and donor activities. Supports pagination and filtering. List donations for the Donately account
List peer-to-peer fundraisers for the Donately account
List people (donors/contacts) for the Donately account
List recurring donations (subscriptions) for the Donately account
Connect Donately to LangChain via MCP
Follow these steps to wire Donately into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
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
Example Prompts for Donately in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Donately immediately.
"List my recent donations from Donately."
"Find details about a specific campaign."
"Retrieve a list of our recurring subscriptions."
Troubleshooting Donately MCP Server with LangChain
Common issues when connecting Donately to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDonately + LangChain FAQ
Common questions about integrating Donately MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.