What authentication does Loopio require and where do I get my token?

Loopio uses OAuth2 with Bearer token authentication. You need to generate an access token from your Loopio account under Settings -> API. The token provides secure, scoped access to your projects, libraries, and team data.

Can the AI agent search and retrieve approved answers from my Loopio library?

Yes. The search_library tool lets the agent query your master knowledge base using natural language. It searches across question text, answer text, and tags, returning the most relevant approved entries with their full content. This ensures your AI responses are always based on pre-approved, accurate information.

Can I create new RFP projects programmatically through the AI agent?

Absolutely. The create_submission tool allows the agent to spin up new Loopio projects with a name, description, company context, due date, and assigned owner. The project is created in 'Not Started' status and ready for immediate team collaboration and answer drafting.

How do I track the progress of active RFPs across my workspace?

Use list_projects to see all active initiatives with their current status, then drill into any project with get_project to check completion percentage, due dates, and ownership. You can also use list_questionnaires to see every individual question and which ones still need answers.

Loopio MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Loopio
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Loopio 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 Loopio "
            "(8 tools)."
        ),
    )

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

Connect your Loopio RFP management platform to your AI agent to transform proposal workflows into intelligent, conversational processes.

Pydantic AI validates every Loopio tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

Browse Projects — List all your active RFPs, RFIs, and security questionnaires. Check progress, due dates, and completion status at a glance.
Search the Knowledge Library — Query your master library of pre-approved answers. Find exactly what you need before drafting new responses.
Review Questionnaire Responses — Fetch individual questions and their current answers from any project. Track what has been answered and what still needs attention.
Create New Submissions — Spin up new RFP projects instantly with name, deadline, company context, and owner assignment.
Manage Teams — List team members to identify who is available for project assignments and collaboration.

The Loopio MCP Server exposes 8 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 Loopio to Pydantic AI via MCP

Follow these steps to integrate the Loopio 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 8 tools from Loopio with type-safe schemas

Why Use Pydantic AI with the Loopio MCP Server

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

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

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

Loopio + Pydantic AI Use Cases

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

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

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

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

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

Loopio MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Loopio to Pydantic AI via MCP:

create_submission

Requires a project name. Optionally accepts a description, company name, due date, project type, and owner ID. The project will be created in "Not Started" status and ready for team collaboration. Create a new RFP project/submission in Loopio

get_project

Use this to check the state of a specific RFP response. Get details of a specific Loopio project by ID

get_questionnaire_responses

If no entryId is provided, returns all entries and their current responses. Use this to review what answers have been drafted or finalized for RFP questions. Get responses for a specific questionnaire entry or all entries in a project

list_libraries

Each stack contains approved Q&A entries organized by category. Use this to discover which knowledge bases are available for searching. List all library stacks available in Loopio

list_projects

Each project represents an active RFP response or questionnaire. Use this to discover all ongoing and recent response initiatives. Optionally limit results with the limit parameter. List all Loopio projects (RFPs, RFIs, questionnaires) in your workspace

list_questionnaires

Each entry represents a question from an RFP, RFI, or security questionnaire that needs to be answered. Use this to understand the scope of a project and track which questions have been answered. List all questionnaire entries (questions) for a specific Loopio project

list_team_members

Use this to identify who is assigned to projects, find user IDs for assigning project ownership, or understand team composition. List all team members in your Loopio workspace

search_library

This is the primary way to find existing approved responses before drafting new answers. You can refine results with optional filters like tags, category, stack, and whether to search in questions or answers. Always use this before creating new library entries. Search the Loopio knowledge library for approved Q&A entries

Example Prompts for Loopio in Pydantic AI

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

"Search the Loopio library for our approved response about SOC 2 compliance."

"Create a new RFP project called 'Acme Corp Security Assessment' with a deadline of March 15th."

"Show me all open RFP projects and their completion percentage."

Troubleshooting Loopio MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Loopio + Pydantic AI FAQ

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