Bleez MCP Server for Pydantic AIGive Pydantic AI instant access to 8 tools to Create Accounting Entry, Create Invoice, Get Account Info, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Bleez 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 Bleez app connector for Pydantic AI is a standout in the Document Management category — giving your AI agent 8 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 Bleez "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Bleez?"
)
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 Bleez MCP Server
Connect your Bleez account to any AI agent and take full control of your French accounting workflows and digital document management through natural conversation.
Pydantic AI validates every Bleez tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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
- Ledger Orchestration — List and manage accounting journal entries programmatically, retrieving detailed historical ledger data in real-time
- Invoice Lifecycle Management — Create and track sales and purchase invoices programmatically to maintain a perfectly coordinated billing pipeline
- Document Ingestion — Programmatically upload digital documents (PDF/Images) to the 'Factures à traiter' module for high-fidelity automated processing
- Contact Discovery — Access complete directories of customer and supplier profiles to coordinate your organizational relationship ecosystem
- Folder Visibility — Retrieve organization-level metadata and folder settings directly through your agent for instant financial reporting
The Bleez MCP Server exposes 8 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 8 Bleez tools available for Pydantic AI
When Pydantic AI connects to Bleez through Vinkius, your AI agent gets direct access to every tool listed below — spanning ledger-management, invoicing, accounting-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.
Provide date, label, and account lines. Create a new accounting entry
Provide contact ID and amount. Create a new invoice
Get current account settings
List all accounting journal entries
List all customers
List all invoices
List all suppliers
Upload a digital document for processing
Connect Bleez to Pydantic AI via MCP
Follow these steps to wire Bleez 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 Bleez MCP Server
Pydantic AI provides unique advantages when paired with Bleez 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 Bleez integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Bleez connection logic from agent behavior for testable, maintainable code
Bleez + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Bleez MCP Server delivers measurable value.
Type-safe data pipelines: query Bleez with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Bleez tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Bleez and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Bleez responses and write comprehensive agent tests
Example Prompts for Bleez in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Bleez immediately.
"List all active customers in my Bleez folder."
"Upload the file 'invoice_123.pdf' to Bleez for processing."
"Show the last 5 accounting entries recorded this month."
Troubleshooting Bleez MCP Server with Pydantic AI
Common issues when connecting Bleez to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiBleez + Pydantic AI FAQ
Common questions about integrating Bleez 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.