Daftra MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Client, Create Invoice, Create Product, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Daftra 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 Daftra app connector for Pydantic AI is a standout in the Crm 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 Daftra "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Daftra?"
)
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 Daftra MCP Server
Connect your Daftra account to any AI agent and take full control of your business accounting and ERP operations through natural conversation.
Pydantic AI validates every Daftra 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
- Invoicing Orchestration — Create and manage professional invoices programmatically, including monitoring payment status and line item configurations in real-time
- Client Relationship Management — Access complete client profiles and interaction history to maintain high-fidelity customer records across the MENA region
- Inventory & Product Intelligence — Access your complete product catalog and retrieve real-time stock levels and service metadata directly through your agent
- Financial Visibility — Monitor business expenses, treasury balances, and client payments to maintain a high-fidelity overview of your financial health
- Staff Coordination — Retrieve directories of staff members and manage account-level metadata directly through your agent for instant operational reporting
The Daftra 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 Daftra tools available for Pydantic AI
When Pydantic AI connects to Daftra through Vinkius, your AI agent gets direct access to every tool listed below — spanning daftra, erp-api, invoicing-automation, 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
Requires client_id and invoice items. Create a new invoice
Create a new product
Get account details
Get invoice details
List all clients
List business expenses
List all invoices
List recent payments
List all products
List staff members
List treasuries/accounts
Connect Daftra to Pydantic AI via MCP
Follow these steps to wire Daftra 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 Daftra MCP Server
Pydantic AI provides unique advantages when paired with Daftra 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 Daftra integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Daftra connection logic from agent behavior for testable, maintainable code
Daftra + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Daftra MCP Server delivers measurable value.
Type-safe data pipelines: query Daftra with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Daftra tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Daftra and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Daftra responses and write comprehensive agent tests
Example Prompts for Daftra in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Daftra immediately.
"List all unpaid invoices in my account."
"Create a new client 'Ahmed Khalid' with email 'ahmed@example.com'."
"Show me the current treasury balances."
Troubleshooting Daftra MCP Server with Pydantic AI
Common issues when connecting Daftra to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiDaftra + Pydantic AI FAQ
Common questions about integrating Daftra 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.