Can I see if a client has opened my proposal using the agent?

Yes! Use the `get_proposal` tool with the Proposal ID. Your agent will fetch the latest status, which includes whether the proposal has been viewed, signed, or paid.

How do I list all my saved proposal templates?

Simply ask the agent to `list_templates`. It will retrieve all the proposal templates available in your account for you to review and use.

Does the integration allow me to create a new contact?

Yes! Use the `create_contact` action with the name and email. Your agent will register the new contact in your Better Proposals CRM instantly.

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

Name: Better Proposals
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 Better Proposals 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 Better Proposals "
            "(10 tools)."
        ),
    )

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

Connect your Better Proposals account to any AI agent and orchestrate your sales documents and proposal workflows through natural conversation.

Pydantic AI validates every Better Proposals 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

Proposal Management — List, retrieve, and create professional proposals to close deals faster.
Contact & Company Oversight — Manage your CRM data, including contacts and companies, for targeted document delivery.
Template Discovery — Access and list your saved proposal templates for consistent and fast document creation.
Sales Analytics — Retrieve performance data and status updates for all your outgoing proposals.
Account Integration — Verify user profiles and organization settings directly from your workspace.

The Better Proposals 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 Better Proposals to Pydantic AI via MCP

Follow these steps to integrate the Better Proposals 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 Better Proposals with type-safe schemas

Why Use Pydantic AI with the Better Proposals MCP Server

Pydantic AI provides unique advantages when paired with Better Proposals 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 Better Proposals integration code

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

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

Better Proposals + Pydantic AI Use Cases

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

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

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

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

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

Better Proposals MCP Tools for Pydantic AI (10)

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

create_contact

Create a new contact

create_proposal

Create a new proposal

get_analytics

Retrieve proposal analytics

get_company

Get specific company details

get_contact

Get specific contact details

get_proposal

Get specific proposal details

list_companies

List all companies

list_contacts

List all contacts

list_proposals

List all proposals

list_templates

List all proposal templates

Example Prompts for Better Proposals in Pydantic AI

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

"List all proposals currently waiting for signature."

"Create a new contact: John Doe, email john@example.com."

"Show me my last 5 proposal templates."

Troubleshooting Better Proposals MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Better Proposals + Pydantic AI FAQ

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