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Sproof MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Cancel Signature Request, Create Contact, Create Signature Request, and more

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Sproof 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 Sproof app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 11 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 Sproof "
            "(11 tools)."
        ),
    )

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

asyncio.run(main())
Sproof
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 Sproof MCP Server

Connect your Sproof account to any AI agent to automate your European-compliant digital signature workflows. Sproof provides a premier platform for qualified electronic signatures (QES), and this integration allows you to retrieve document metadata, monitor signature requests, and manage contacts through natural conversation.

Pydantic AI validates every Sproof tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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

  • Document Orchestration — List all managed documents and retrieve detailed profile metadata, including signature status programmatically.
  • Signature Request Control — Create and monitor signature requests to ensure your legal documents are executed efficiently directly from the AI interface.
  • Contact Management — Access and monitor your contact database to keep your signer records synchronized via natural language.
  • Profile & Account Oversight — Retrieve detailed account profile metadata and monitor system usage to ensure your signature pipeline is optimized.
  • Compliance Monitoring — Track document validity and signature authenticity using simple AI commands.

The Sproof MCP Server exposes 11 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 11 Sproof tools available for Pydantic AI

When Pydantic AI connects to Sproof through Vinkius, your AI agent gets direct access to every tool listed below — spanning sproof, digital-signature, electronic-signature, 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.

cancel_signature_request

Cancel a pending signature request

create_contact

Create a new contact for signing

create_signature_request

Pass data as a JSON string. Create a new signature request

get_document

Get document details

get_profile

Get account profile details

get_signature_request

Get details for a signature request

list_audit_trail

Get the audit trail for a signature request

list_contacts

List all contacts

list_documents

List all documents

list_signature_requests

List all signature requests

list_signers

List all signers for a signature request

Connect Sproof to Pydantic AI via MCP

Follow these steps to wire Sproof 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 11 tools from Sproof with type-safe schemas

Why Use Pydantic AI with the Sproof MCP Server

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

Sproof + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Sproof in Pydantic AI

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

01

"List all pending signature requests in Sproof."

02

"Show me all pending signature requests with their signing progress and deadline status."

03

"Create a new signature request for the annual vendor agreement and add three signers."

Troubleshooting Sproof MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Sproof + Pydantic AI FAQ

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