Openli MCP Server for Pydantic AIGive Pydantic AI instant access to 13 tools to Check Openli Status, Create Agreement, Create Dsar, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Openli 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 Openli app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 13 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 Openli "
"(13 tools)."
),
)
result = await agent.run(
"What tools are available in Openli?"
)
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 Openli MCP Server
Connect your Openli account to any AI agent and take full control of your privacy orchestration and legal compliance through natural conversation. Openli provides a comprehensive platform for managing cookie consent, processing Data Subject Access Requests (DSARs), and maintaining an automated audit trail for your legal agreements.
Pydantic AI validates every Openli tool response against typed schemas, catching data inconsistencies at build time. Connect 13 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
- Consent & Agreement Orchestration — List all published legal agreements programmatically and retrieve detailed version metadata to ensure your terms are always synchronized.
- Evidence & Audit Intelligence — Record and save user consent evidence directly from the AI interface to maintain a high-fidelity, legally binding audit trail.
- DSAR Lifecycle Management — Access and monitor incoming Data Subject Access Requests via natural language to drive better response times and regulatory compliance.
- Vendor & Data Processor Control — List and oversee your organization's third-party vendors and data processors using simple AI commands.
- Operational Monitoring — Track system responses and manage privacy audit logs to ensure your compliance workflow is always optimized.
The Openli MCP Server exposes 13 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 13 Openli tools available for Pydantic AI
When Pydantic AI connects to Openli through Vinkius, your AI agent gets direct access to every tool listed below — spanning openli, privacy-compliance, gdpr-api, 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.
Verify connectivity
Create an agreement
Create a DSAR
Get agreement details
Get consent details
Get DSAR details
Get vendor details
List agreements
List audit logs
List consents
List DSARs
List vendors
Save consent
Connect Openli to Pydantic AI via MCP
Follow these steps to wire Openli 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 Openli MCP Server
Pydantic AI provides unique advantages when paired with Openli 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 Openli integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Openli connection logic from agent behavior for testable, maintainable code
Openli + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Openli MCP Server delivers measurable value.
Type-safe data pipelines: query Openli with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Openli tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Openli and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Openli responses and write comprehensive agent tests
Example Prompts for Openli in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Openli immediately.
"List all my current legal agreements in Openli."
"Show me all active legal documents that need review before their renewal date."
"Generate a compliance report for my website covering GDPR and cookie consent status."
Troubleshooting Openli MCP Server with Pydantic AI
Common issues when connecting Openli to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiOpenli + Pydantic AI FAQ
Common questions about integrating Openli 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.