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How to Use the Common Paper MCP in Pydantic AI

Enforce strict schema validation on Common Paper documents with your Pydantic AI agents.

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…and any MCP-compatible client

Common Paper MCP on Cursor AI Code Editor MCP Client Common Paper MCP on Claude Desktop App MCP Integration Common Paper MCP on OpenAI Agents SDK MCP Compatible Common Paper MCP on Visual Studio Code MCP Extension Client Common Paper MCP on GitHub Copilot AI Agent MCP Integration Common Paper MCP on Google Gemini AI MCP Integration Common Paper MCP on Lovable AI Development MCP Client Common Paper MCP on Mistral AI Agents MCP Compatible Common Paper MCP on Amazon AWS Bedrock MCP Support
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Pydantic AI

Connect Common Paper MCP to Pydantic AI

Create your Vinkius account to connect Common Paper to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Type-safe agreement lookups for Pydantic AI

Use `get_agreement` to fetch contract data that is immediately validated against your Pydantic models. If the Common Paper response doesn't match your schema, the agent catches the error before proceeding. This approach prevents your agent from acting on malformed data. You get full confidence that the agreement ID, signer email, and status fields are exactly what your logic expects.

Validate template selection with Pydantic AI

Call `list_templates` to retrieve your account's contract options. Your agent maps these results to your internal Python objects, ensuring every template is correctly identified before you send it out. By using the `send_agreement` tool, you keep your entire workflow within a type-checked loop. Any mismatch in the template parameters causes a loud failure, protecting your production environment.

Monitor contract events with Pydantic AI

Retrieve active webhooks with `list_webhooks` to ensure your agent knows where status updates are headed. The server returns a list that your agent parses into defined Python types. If you need to update your routing, use `delete_webhook` or `create_webhook` to adjust the flow. Because every response is validated, you always know the exact state of your notification system.

Setup guide

Set up Common Paper MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "common-paper-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Common Paper tools.",
)

result = await agent.run("List recent Common Paper transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Common Paper. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Common Paper MCP in Pydantic AI

Instantiate an MCPToolset with your server URL and include it in the toolsets argument for your Agent. This creates a type-safe connection to your Common Paper account.
The Pydantic AI framework validates the response against your defined model at runtime. If the data doesn't match, the agent throws a validation error immediately.
Absolutely; call search_agreements_by_email to find specific contracts. The agent treats the result as a validated object, making it safe to extract emails and statuses for further processing.
The server supports both SSE and Streamable HTTP transports. You can choose the transport that fits your environment, ensuring a reliable link between your code and the Common Paper API.
We enforce strict data isolation using Vinkius's ephemeral runtime. Your contract details are never stored or logged, ensuring your legal information remains private while your agent processes the required fields.

Start using the Common Paper MCP today

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