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Clio MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Contact, Create Matter, Get Contact, and more

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Clio 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 Clio 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

python
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 Clio "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Clio?"
    )
    print(result.data)

asyncio.run(main())
Clio
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About Clio MCP Server

Connect your Clio (v4) account to any AI agent and take full control of your legal practice management and firm operations through natural conversation.

Pydantic AI validates every Clio 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

  • Matter & Case Orchestration — List and manage legal matters programmatically, monitoring their entire lifecycle from intake to resolution in real-time
  • Billing & Activity Intelligence — Track billable time and expenses associated with specific matters and retrieve detailed high-fidelity invoice summaries
  • Relationship CRM — Access complete profiles for individuals and company contacts (clients, counsel) to maintain a perfectly coordinated relationship ecosystem
  • Communication Architecture — Access logged calls, emails, and firm-wide task lists to ensure high-fidelity oversight of all firm interactions
  • Regional Flexibility — Connect across multiple data centers (US, CA, EU, AU) using specialized access tokens and regional base URLs directly through your agent

The Clio 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 Clio tools available for Pydantic AI

When Pydantic AI connects to Clio through Vinkius, your AI agent gets direct access to every tool listed below — spanning case-management, time-tracking, legal-billing, 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_contact

Create a new contact

create_matter

Provide description and client ID. Create a new legal matter

get_contact

Get details of a specific contact

get_matter

Get details of a specific matter

get_user_profile

Get current user profile information

list_activities

List billable activities (time and expenses)

list_bills

List billing invoices

list_communications

List firm communications

list_contacts

List all contacts

list_matter_stages

List possible stages for matters

list_matters

List all legal matters (cases)

list_tasks

List tasks

Connect Clio to Pydantic AI via MCP

Follow these steps to wire Clio into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Clio with type-safe schemas

Why Use Pydantic AI with the Clio MCP Server

Pydantic AI provides unique advantages when paired with Clio through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Clio integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Clio connection logic from agent behavior for testable, maintainable code

Clio + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Clio MCP Server delivers measurable value.

01

Type-safe data pipelines: query Clio with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Clio tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Clio and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Clio responses and write comprehensive agent tests

Example Prompts for Clio in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Clio immediately.

01

"List all active legal matters in my Clio account."

02

"Create a new company contact 'Acme Legal' in Clio."

03

"Show my billable activities and outstanding invoices."

Troubleshooting Clio MCP Server with Pydantic AI

Common issues when connecting Clio to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Clio + Pydantic AI FAQ

Common questions about integrating Clio MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Clio MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.