3,400+ MCP servers ready to use
Vinkius

Bring Donations
to LangChain

Learn how to connect Donately to LangChain and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create DonationGet CampaignGet DonationGet FundraiserGet PersonGet SubscriptionList CampaignsList DonationsList FundraisersList PeopleList Subscriptions

What is the 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.

How it works

1. Subscribe to Donately. 2. Insert your API Token and Account ID. 3. Let the AI Agent fetch and manage your fundraising data.

Who is this for?

Ideal for non-profits, NGOs, and fundraising teams who want to seamlessly query their Donately data through AI Agents.

Built-in capabilities (11)

create_donation

Create a new donation

get_campaign

Get details of a specific campaign

get_donation

Get details of a specific donation

get_fundraiser

Get details of a specific peer-to-peer fundraiser

get_person

Get details of a specific person (donor)

get_subscription

Get details of a specific recurring donation (subscription)

list_campaigns

Campaigns are the primary way to organize fundraising efforts. List campaigns for the Donately account

list_donations

Useful to track incoming contributions and donor activities. Supports pagination and filtering. List donations for the Donately account

list_fundraisers

List peer-to-peer fundraisers for the Donately account

list_people

List people (donors/contacts) for the Donately account

list_subscriptions

List recurring donations (subscriptions) for the Donately account

Why LangChain?

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 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

See it in action

Donately in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Donately and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Donately to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Donately in LangChain

The Donately 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. All 11 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Donately
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

The Vinkius Advantage

How Vinkius secures Donately for LangChain

Every tool call from LangChain to the Donately MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Does the AI agent process payments directly?

No, the AI agent retrieves and manages data from your Donately account, it does not act as a payment gateway itself.

02

Can the AI agent create new fundraising campaigns?

Currently, the agent can list and retrieve information about existing campaigns, but campaign creation should be done in the Donately dashboard.

03

Is donor data safe with the AI agent?

Yes, the agent only accesses the data necessary to answer your prompts and does not store personal donor information permanently.

04

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.

05

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.

06

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.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters