Nue.io Revenue 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 Nue.io Revenue 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 Nue.io Revenue "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Nue.io Revenue?"
)
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 Nue.io Revenue MCP Server
Connect your Nue.io account to your AI agent and streamline your quote-to-revenue operations through natural conversation.
Pydantic AI validates every Nue.io Revenue 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
- Catalog Management — List all published products, services, and bundles available for self-service.
- Pricing Intelligence — Access detailed price tags (Quantity, Tiered, Volume) and pricing logic for specific products.
- Metadata Mapping — List business objects available for Stripe metadata mapping and integration.
- Workflow Tracking — Monitor automated revenue workflows for billing, collections, and quote processing.
- Integration Oversight — View all active third-party integrations (Stripe, Salesforce) connected to your account.
- Deep Inspection — Fetch complete metadata and configuration for specific products or bundles using their unique IDs.
The Nue.io Revenue 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 Nue.io Revenue to Pydantic AI via MCP
Follow these steps to integrate the Nue.io Revenue 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 Nue.io Revenue with type-safe schemas
Why Use Pydantic AI with the Nue.io Revenue MCP Server
Pydantic AI provides unique advantages when paired with Nue.io Revenue 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 Nue.io Revenue integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Nue.io Revenue connection logic from agent behavior for testable, maintainable code
Nue.io Revenue + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Nue.io Revenue MCP Server delivers measurable value.
Type-safe data pipelines: query Nue.io Revenue with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Nue.io Revenue tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Nue.io Revenue and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Nue.io Revenue responses and write comprehensive agent tests
Nue.io Revenue MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Nue.io Revenue to Pydantic AI via MCP:
get_current_user
Get current user metadata
get_organization_info
Get organization metadata
get_product_details
Get specific product metadata
list_active_integrations
g., Stripe, Salesforce) connected to Nue. List connected third-party integrations
list_catalog_products
List all published products
list_metadata_source_objects
List objects for metadata mapping
list_product_bundles
List configured product bundles
list_product_categories
List catalog categories
list_product_price_tags
List price tags for a product
list_revenue_workflows
List automated revenue workflows
Example Prompts for Nue.io Revenue in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Nue.io Revenue immediately.
"List all the products currently published in my Nue.io catalog."
"What are the price tags associated with product ID 'prod_98765'?"
"Show me our active revenue and billing workflows."
Troubleshooting Nue.io Revenue MCP Server with Pydantic AI
Common issues when connecting Nue.io Revenue to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiNue.io Revenue + Pydantic AI FAQ
Common questions about integrating Nue.io Revenue 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 Nue.io Revenue 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 Nue.io Revenue to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
