How do I get my Common Paper API key?

You can generate an API key in your Common Paper account under Settings > Integrations.

Which agreement types are supported?

Common Paper supports standard contracts like NDAs, Cloud Service Agreements (CSA), and Data Processing Agreements (DPA).

Can I use custom templates?

Yes, you can use any template created in your Common Paper account by providing its unique template ID to the 'send_agreement' tool.

Common Paper MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Common Paper
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Common Paper through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Common Paper "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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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 Common Paper MCP Server

Connect your Common Paper account to any AI agent and manage your commercial contracts through natural conversation.

Pydantic AI validates every Common Paper tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Agreement Management — List all signed agreements, check the status of pending contracts, and retrieve details for any specific document.
Contract Creation — Send new agreements such as NDAs, Cloud Service Agreements (CSA), and DPAs directly to partners using predefined templates.
Workflow Automation — Streamline your internal processes by programmatically fetching agreement data and triggering contract actions.

The Common Paper MCP Server exposes 10 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.

How to Connect Common Paper to Pydantic AI via MCP

Follow these steps to integrate the Common Paper MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 10 tools from Common Paper with type-safe schemas

Why Use Pydantic AI with the Common Paper MCP Server

Pydantic AI provides unique advantages when paired with Common Paper 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 Common Paper integration code

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

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

Common Paper + Pydantic AI Use Cases

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

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

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

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

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

Common Paper MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Common Paper to Pydantic AI via MCP:

create_webhook

Configure a new webhook to receive contract status updates

delete_webhook

Remove a previously configured webhook

get_agreement

Retrieve detailed information about a specific agreement

get_template

Retrieve details of a specific contract template

list_agreements

Retrieve a list of agreements (contracts) from Common Paper

list_signed_agreements

Quickly list all agreements that have been fully signed

list_templates

Retrieve a list of contract templates available in your account

list_webhooks

Retrieve a list of configured webhooks

search_agreements_by_email

Find agreements associated with a specific recipient email

send_agreement

Create and send a new agreement based on a template

Example Prompts for Common Paper in Pydantic AI

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

"Show me all signed agreements in Common Paper."

"Send an NDA agreement to 'partner@example.com' using template ID 'tmpl-xxxx' in Common Paper."

"Get the current status of agreement 'agr-yyyy' in Common Paper."

Troubleshooting Common Paper MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Common Paper + Pydantic AI FAQ

Common questions about integrating Common Paper MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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