Can I check if a document has been signed using the agent?

Yes! Use the `get_envelope_status` tool with the Envelope ID. Your agent will fetch the current status (e.g., 'Completed' or 'Sent') directly from BunnyDoc.

How do I send a signature request to multiple recipients?

Simply ask the agent to `create_signature_request` and provide the Template ID and a JSON array of recipients. Each object should include the recipient's name and email.

Does the integration allow listing all available templates?

Yes. Use the `list_templates` tool. It will retrieve all the document templates configured in your BunnyDoc account, making it easy to find the ID you need for a new request.

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

Name: BunnyDoc
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 BunnyDoc 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 BunnyDoc "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in BunnyDoc?"
    )
    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 BunnyDoc MCP Server

Connect your BunnyDoc account to any AI agent and orchestrate your eSignature workflows, document lifecycle, and team collaboration through natural conversation.

Pydantic AI validates every BunnyDoc 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

Signature Requests — Trigger new document signature requests using pre-defined templates directly from your workspace.
Status Oversight — Monitor the real-time status of envelopes (Draft, Sent, Signed, Completed) using natural language.
Template Management — List all available document templates to ensure consistency in your signing workflows.
Team Coordination — Access your directory of team members and invite new collaborators to the platform.
Webhook Automation — Subscribe to lifecycle events (viewed, signed, completed) to automate your back-office response.
Document Auditing — Retrieve detailed metadata and audit trails for any envelope ID straight from your workspace.

The BunnyDoc 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 BunnyDoc to Pydantic AI via MCP

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

Why Use Pydantic AI with the BunnyDoc MCP Server

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

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

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

BunnyDoc + Pydantic AI Use Cases

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

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

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

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

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

BunnyDoc MCP Tools for Pydantic AI (10)

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

add_team_member

Invite a new member to the team

create_signature_request

Create a new signature request from a template

get_account_info

Retrieve core account information

get_envelope_status

Get status of a specific signature request (envelope)

get_usage_stats

Retrieve API usage statistics

list_envelopes

List all signature requests

list_team_members

List all members of the team

list_templates

List all available document templates

subscribe_webhook

Subscribe to signature events via webhook

unsubscribe_webhook

Remove a webhook subscription

Example Prompts for BunnyDoc in Pydantic AI

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

"List all my document templates in BunnyDoc."

"Show the status of signature request env_99283."

"Send the 'NDA' template to Jane Smith (jane@example.com)."

Troubleshooting BunnyDoc MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

BunnyDoc + Pydantic AI FAQ

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