Moxie MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Client, Create Expense, Create Invoice, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Moxie 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 Moxie app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 12 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 Moxie "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Moxie?"
)
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 Moxie MCP Server
Connect your Moxie workspace to any AI agent and manage your freelance or agency business through natural conversation.
Pydantic AI validates every Moxie tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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
- Clients & Contacts — List clients, create new ones, search contacts
- Projects & Tasks — Search/create projects, create tasks
- Invoices — Search payable invoices, create new ones
- Time & Expenses — Log time entries, record expenses
- Tickets — Create support tickets
- Users — List workspace team members
The Moxie MCP Server exposes 12 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 12 Moxie tools available for Pydantic AI
When Pydantic AI connects to Moxie through Vinkius, your AI agent gets direct access to every tool listed below — spanning freelance-management, invoicing, time-tracking, 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 client
Log an expense
Create a new invoice
Create a new project
Create a new task
Create a support ticket
Log time
List all clients in Moxie
List workspace users
Search for contacts
Search for payable invoices
Search for projects
Connect Moxie to Pydantic AI via MCP
Follow these steps to wire Moxie 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 Moxie MCP Server
Pydantic AI provides unique advantages when paired with Moxie 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 Moxie integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Moxie connection logic from agent behavior for testable, maintainable code
Moxie + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Moxie MCP Server delivers measurable value.
Type-safe data pipelines: query Moxie with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Moxie tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Moxie and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Moxie responses and write comprehensive agent tests
Example Prompts for Moxie in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Moxie immediately.
"List all clients and their projects."
"Log 2 hours of consulting on the Acme Corp project."
"Create an invoice for Beta Design."
Troubleshooting Moxie MCP Server with Pydantic AI
Common issues when connecting Moxie to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiMoxie + Pydantic AI FAQ
Common questions about integrating Moxie 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.