Donately MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Create Donation, Get Campaign, Get Donation, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Donately through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Donately app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Donately "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in Donately?"
)
print(result.data)
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.
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.
The Donately MCP Server exposes 11 tools through the Vinkius. Connect it to Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire Donately into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Donately MCP Server
Pydantic AI provides unique advantages when paired with Donately through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Donately integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Donately connection logic from agent behavior for testable, maintainable code
Donately + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Donately MCP Server delivers measurable value.
Type-safe data pipelines: query Donately with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Donately tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Donately and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Donately responses and write comprehensive agent tests
Example Prompts for Donately in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Donately to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiDonately + Pydantic AI FAQ
Common questions about integrating Donately MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.