How do I obtain my GUIDEcx API Key?

You can generate your API Key within your GUIDEcx instance by navigating to **Settings > Integrations**. Ensure you have the necessary administrative permissions.

Can I track time spent on specific tasks via this integration?

Yes! Use the `create_time_record` tool to log minutes against any task ID. You can also use `list_time_records` to review all tracked implementation time.

How do I update the status of a task?

Use the `update_task` tool. You just need to provide the `id` of the task and the new `status` (e.g., 'DONE', 'IN_PROGRESS').

Can I create new projects directly from my AI agent?

Yes! The `create_project` tool allows you to initiate new onboarding projects by providing a project name.

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

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

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

Connect your GUIDEcx customer onboarding platform to any AI agent and streamline your implementation workflows through natural conversation.

Pydantic AI validates every GUIDEcx 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

Project Management — List all onboarding projects, create new implementations, and retrieve detailed status updates.
Task Execution — List tasks across your portfolio, update statuses, and dive into specific task requirements.
Team Coordination — Access lists of users and stakeholders assigned to projects to ensure alignment.
Time Tracking — Log minutes spent on implementation tasks and retrieve time records for reporting.
Operational Efficiency — Use AI to identify overdue tasks or projects that need immediate attention across your entire organization.

The GUIDEcx 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 GUIDEcx to Pydantic AI via MCP

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

Why Use Pydantic AI with the GUIDEcx MCP Server

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

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

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

GUIDEcx + Pydantic AI Use Cases

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

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

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

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

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

GUIDEcx MCP Tools for Pydantic AI (10)

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

create_project

Create a new onboarding project

create_time_record

Log time against a specific task or project

get_project

Get detailed information about a specific project

get_task

Get details for a specific GUIDEcx task

list_project_users

List stakeholders and users assigned to a specific project

list_projects

List all customer onboarding projects in GUIDEcx

list_tasks

List tasks across projects

list_time_records

List all tracked time records

list_users

List internal organization users

update_task

Update an existing task status or details

Example Prompts for GUIDEcx in Pydantic AI

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

"List all my active onboarding projects."

"Log 45 minutes for task ID 99283."

"Show me the stakeholders for the Acme Corp project."

Troubleshooting GUIDEcx MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

GUIDEcx + Pydantic AI FAQ

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