Bring Donations
to Pydantic AI
Learn how to connect Donately to Pydantic AI and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
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 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
Why Pydantic AI?
Pydantic AI validates every Donately tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Donately integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Donately connection logic from agent behavior for testable, maintainable code
Donately in Pydantic AI
Donately and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Donately to Pydantic AI 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Donately in Pydantic AI
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 Pydantic AI 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.
* 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
How Vinkius secures
Donately for Pydantic AI
Every tool call from Pydantic AI to the Donately MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
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.
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.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Donately MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai