Donately MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 "
"(10 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
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.
Pydantic AI validates every Donately tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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.
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 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.
How to Connect Donately to Pydantic AI via MCP
Follow these steps to integrate the Donately MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Donately with type-safe schemas
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
Donately MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Donately to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 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.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Donately with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Donately to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.