Can I automatically generate a contract from a template?

Yes! Use the `create_document` tool. Provide the Template ID, a name for the new file, and a JSON string containing the data to fill into the template's fields.

How do I send a completed document for signature?

Simply ask the agent to `send_document` and provide the Document ID. It will trigger Bounsel's signature workflow for all defined recipients.

Can I delete a draft document?

Yes. Use the `delete_document` action with the Document ID to permanently remove it from your Bounsel workspace.

Bounsel MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Bounsel
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Bounsel 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

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 Bounsel "
            "(9 tools)."
        ),
    )

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

Connect your Bounsel CLM account to any AI agent and orchestrate your legal document workflows through natural conversation.

Pydantic AI validates every Bounsel tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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

Document Oversight — List and retrieve detailed metadata for all your generated contracts and legal documents.
Automated Drafting — Create new documents instantly by merging your data with pre-configured smart templates.
Template Discovery — List available templates and their required fields to ensure accurate data entry.
Signature Orchestration — Initiate the digital signature process for any completed document.
Document Lifecycle — Delete drafts or canceled documents to maintain a clean workspace.
Team Management — Retrieve lists of users and account information to manage access.

The Bounsel MCP Server exposes 9 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 Bounsel to Pydantic AI via MCP

Follow these steps to integrate the Bounsel 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 9 tools from Bounsel with type-safe schemas

Why Use Pydantic AI with the Bounsel MCP Server

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

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

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

Bounsel + Pydantic AI Use Cases

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

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

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

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

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

Bounsel MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Bounsel to Pydantic AI via MCP:

create_document

Create a new document from a template

delete_document

Delete a document

get_account_info

Get company account info

get_document

Get details of a specific document

get_template

Get details of a specific template

list_documents

List all CLM documents

list_templates

List all smart templates

list_users

List all account users

send_document

Send a document for signature

Example Prompts for Bounsel in Pydantic AI

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

"List all active documents in Bounsel."

"Send document doc_1 for signature."

"List available smart templates."

Troubleshooting Bounsel MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Bounsel + Pydantic AI FAQ

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