Can I send documents for signature?

Yes! Use `send_envelope` with a JSON payload defining the documents, recipients, and signature tabs.

How do I check who signed?

Use `list_recipients` with the envelope ID to see all signers and their status.

Can I cancel a pending signature request?

Yes! Use `void_envelope` with the envelope ID and a reason. This is irreversible.

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

Name: DocuSign
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 DocuSign through the 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

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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 DocuSign "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 DocuSign MCP Server

Connect DocuSign to any AI agent and automate your entire contract lifecycle.

Pydantic AI validates every DocuSign tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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

Envelope Management — List, view, search, and send envelopes for signature
Template Library — Browse and use pre-built templates for recurring documents
Recipient Tracking — Check who has signed and who hasn't
Signing URLs — Generate embedded signing links for instant signing
Void Envelopes — Cancel pending signature requests
Folder Organization — Browse envelope folders

The DocuSign 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 DocuSign to Pydantic AI via MCP

Follow these steps to integrate the DocuSign 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 DocuSign with type-safe schemas

Why Use Pydantic AI with the DocuSign MCP Server

Pydantic AI provides unique advantages when paired with DocuSign 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 DocuSign integration code

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

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

DocuSign + Pydantic AI Use Cases

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

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

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

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

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

DocuSign MCP Tools for Pydantic AI (10)

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

get_envelope

Get envelope details

get_signing_url

Provide envelope ID and recipient details as JSON. Generate a signing URL for a recipient

get_template

Get template details

list_envelopes

Provide a from_date in ISO format. List envelopes (documents sent for signature)

list_folders

List envelope folders

list_recipients

List recipients of an envelope

list_templates

List available envelope templates

search_envelopes

Search envelopes by text

send_envelope

Provide envelope definition as JSON. Create and send a new envelope for signature

void_envelope

Requires a reason. This action is irreversible. Void a sent envelope

Example Prompts for DocuSign in Pydantic AI

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

"Show me all envelopes from the last 30 days."

"Generate a signing link for the pending contract."

"List all available templates."

Troubleshooting DocuSign MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

DocuSign + Pydantic AI FAQ

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