How do I find my NeonCRM Organization ID?

Your Organization ID (Org ID) is found in your NeonCRM instance URL: https://[OrgID].neoncrm.com.

Where do I generate an API Key?

In your NeonCRM dashboard, navigate to Settings > Global Settings > API Settings to find or create your API keys.

Can I see custom field data?

Yes! The `get_account` and `get_donation` tools will return custom field values if they are populated, and you can list all available fields using `list_custom_fields`.

NeonCRM MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: NeonCRM
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect NeonCRM through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 NeonCRM "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in NeonCRM?"
    )
    print(result.data)

asyncio.run(main())

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

About NeonCRM MCP Server

Connect your NeonCRM account to your AI agent and take full control of your non-profit organization's constituent data and fundraising activities through natural conversation.

Pydantic AI validates every NeonCRM tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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

Constituent Management — List all accounts and contacts to get detailed profiles and historical activity.
Donation Tracking — Access a history of all financial contributions and retrieve metadata for specific donations.
Membership Oversight — Monitor active and historical membership records for your supporters.
Event Management — View all organization events (fundraisers, galas) and registration details.
Grant Tracking — List and inspect grant applications and awards managed within the CRM.
Custom Data Access — Retrieve all standard and custom data fields defined for your CRM profiles.

The NeonCRM 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 NeonCRM to Pydantic AI via MCP

Follow these steps to integrate the NeonCRM 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 NeonCRM with type-safe schemas

Why Use Pydantic AI with the NeonCRM MCP Server

Pydantic AI provides unique advantages when paired with NeonCRM 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 NeonCRM integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your NeonCRM connection logic from agent behavior for testable, maintainable code

NeonCRM + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the NeonCRM MCP Server delivers measurable value.

Type-safe data pipelines: query NeonCRM with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple NeonCRM tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query NeonCRM and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock NeonCRM responses and write comprehensive agent tests

NeonCRM MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect NeonCRM to Pydantic AI via MCP:

get_account

Get specific account details

get_crm_event

Get specific event details

get_donation

Get donation details

list_accounts

List NeonCRM accounts

list_contacts

List CRM contacts

list_crm_events

) created in NeonCRM. List CRM events

list_custom_fields

List CRM custom fields

list_donations

List all donations

list_grants

List grant records

list_memberships

List account memberships

Example Prompts for NeonCRM in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with NeonCRM immediately.

"List all donations received this year."

"Show me the details for account ID 987."

"List all upcoming CRM events."

Troubleshooting NeonCRM MCP Server with Pydantic AI

Common issues when connecting NeonCRM to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

NeonCRM + Pydantic AI FAQ

Common questions about integrating NeonCRM MCP Server with Pydantic AI.

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 NeonCRM MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.