How to Use the Modusign MCP in Pydantic AI

Q: How do I set up Modusign with Pydantic AI?

Install the library using pip install "pydantic-ai-slimmcp". Use the MCPToolset class with your Vinkius endpoint URL and pass it to your Agent's toolsets parameter to expose tools like listdocuments.

Q: How does Pydantic AI handle errors from Modusign?

If a tool call like getdocument fails or returns invalid schema data, the framework catches it and raises a validation error. This prevents corrupted data from entering your database.

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Connect Modusign MCP to Pydantic AI

Create your Vinkius account to connect Modusign 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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Setup Modusign with Pydantic AI

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Validate contract schemas at runtime in Pydantic AI.

Stop worrying about your agent passing malformed data to your signing platform. This MCP Server integrates with Pydantic AI to validate every payload against strict Python models before calling `create_document_from_template`. If the Modusign API returns unexpected fields when you call `get_document`, the framework raises a validation error immediately. You get clean, predictable data structures instead of silent failures in production.

Audit your agreement lifecycle with typed logs.

Compliance requires precision. When your agent calls `get_audit_logs` using the MCP Server, the response is parsed into strongly typed models, making it easy to verify timestamps and user actions. You can also use `list_documents` to get a structured overview of all active contracts. Because every field is typed, your application logic can safely parse status fields without throwing runtime exceptions.

Manage templates and webhooks safely.

Keep your templates organized without relying on guesswork. Your agent can call `list_templates` to fetch available contract layouts and map them directly to your internal database schemas. For real-time updates, query `list_webhooks` to ensure your event listeners are active. Pydantic AI ensures that the webhook metadata returned is structured exactly how your backend expects it.

Setup guide

Set up Modusign MCP in Pydantic AI

Prerequisites

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

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

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

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": {
        "modusign-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Modusign MCP in Pydantic AI

Install the library using `pip install "pydantic-ai-slim[mcp]"`. Use the `MCPToolset` class with your Vinkius endpoint URL and pass it to your Agent's `toolsets` parameter to expose tools like `list_documents`.

Writing API boilerplate for electronic signatures takes hours. This server exposes ready-to-use tools like `create_document_from_template` that your agent can discover and invoke without manual routing.

If a tool call like `get_document` fails or returns invalid schema data, the framework catches it and raises a validation error. This prevents corrupted data from entering your database.

Yes, Pydantic AI is model-agnostic. You can connect this toolset to local models or commercial APIs while retaining full type-safety for operations like `list_folders`.

Your contract templates, signer details, and audit logs pass directly through encrypted SSL tunnels to the Modusign API. No document data is cached, stored, or inspected by the Vinkius hosting layer.

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