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Autenti MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Add New Contact, Check Api Health, Create New Signature Process, and more

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Autenti 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 Autenti app connector for Pydantic AI is a standout in the Document Management 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 Autenti "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
Autenti
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Autenti MCP Server

Connect your Autenti account to any AI agent and take full control of your professional document signing workflows and e-signature compliance through natural conversation.

Pydantic AI validates every Autenti 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

  • Process Orchestration — List and manage document signature processes programmatically, retrieving detailed status, high-fidelity metadata, and historical audit data in real-time
  • Dynamic Lifecycle Management — Discover and execute available actions (Send, Sign, Reject) based on the document's current state to coordinate complex signature workflows
  • Participant Intelligence — Programmatically add signers and observers to your processes and manage your organizational contact directory to ensure perfectly coordinated collaboration
  • Event Monitoring — Access and monitor your complete directory of webhooks to receive real-time notifications for incoming document events directly through your agent
  • Operational Visibility — Access high-fidelity profile metadata for your authenticated user and verify API connectivity directly through your agent for instant reporting

The Autenti 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 Autenti tools available for Pydantic AI

When Pydantic AI connects to Autenti through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-signature, identity-verification, compliance, 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.

add_new_contact

Add a contact to your address book

check_api_health

Verify Autenti API connectivity

create_new_signature_process

Requires a title and metadata. Start a new document process

execute_process_action

Use list_available_process_actions first to find valid names. Execute a discovered action (e.g., Send, Sign, Reject)

get_process_details

Get details for a specific signature process

get_user_account_profile

Get authenticated user profile

list_available_process_actions

Discover possible actions for a process

list_configured_webhooks

List active webhooks

list_process_files

List files within a process

list_process_participants

List signers and observers

list_saved_contacts

List your address book contacts

list_signature_processes

List all document signature processes

Connect Autenti to Pydantic AI via MCP

Follow these steps to wire Autenti 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 Autenti with type-safe schemas

Why Use Pydantic AI with the Autenti MCP Server

Pydantic AI provides unique advantages when paired with Autenti 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 Autenti 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 Autenti connection logic from agent behavior for testable, maintainable code

Autenti + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Autenti in Pydantic AI

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

01

"List all my active document signature processes."

02

"What actions can I take on process 'proc_123'?"

03

"Add 'John Doe' (john@example.com) to my Autenti contacts."

Troubleshooting Autenti MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Autenti + Pydantic AI FAQ

Common questions about integrating Autenti 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 Autenti MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.