Can my AI agent create tasks in specific Ayanza projects?

Yes! Your agent can list all projects to find the correct ID and then create tasks directly within that project context.

Is it possible to recover deleted tasks via the AI agent?

Currently, the MCP server supports the deletion of tasks, but recovery must be handled directly within the Ayanza web interface.

Can the agent access private wiki pages?

The AI agent can only access wiki pages that are visible to the user associated with the provided API token.

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

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

    result = await agent.run(
        "What tools are available in Ayanza?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Ayanza MCP Server

Orchestrate your team's rhythm with Ayanza, the AI-first project management platform designed for modern velocity. By connecting Ayanza to your AI agent, you transform project oversight from a manual chore into a natural conversation. Your agent gains the power to navigate complex task workflows, access team wikis, and manage project milestones without you ever opening a dashboard. It’s not just about tracking tasks; it’s about giving your agent the context it needs to act as a digital coordinator within your workspace.

Pydantic AI validates every Ayanza 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

Task Orchestration — List, create, update, and delete tasks in Ayanza using natural language through your AI agent.
Project Oversight — Get a comprehensive view of all projects or dive into specific project details to monitor progress effortlessly.
Knowledge Retrieval — Access and list wiki pages to quickly find team documentation and shared knowledge.
Workspace Management — View workspace users to understand team structure and assign tasks effectively.
Dynamic Updates — Modify task descriptions and statuses in real-time to keep your team aligned and productive.

The Ayanza 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 Ayanza to Pydantic AI via MCP

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

Why Use Pydantic AI with the Ayanza MCP Server

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

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

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

Ayanza + Pydantic AI Use Cases

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

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

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

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

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

Ayanza MCP Tools for Pydantic AI (10)

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

create_task

Create a new task in Ayanza

delete_task

Delete an Ayanza task

get_me

Get current authenticated user info

get_project

Get details for a specific Ayanza project

get_task

Get details for a specific Ayanza task

list_projects

List projects in Ayanza

list_tasks

List tasks in Ayanza

list_users

List users in the Ayanza workspace

list_wiki_pages

List wiki pages in Ayanza

update_task

Update an existing Ayanza task

Example Prompts for Ayanza in Pydantic AI

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

"List all my tasks in Ayanza."

"Create a new task called 'Prepare Q4 presentation'."

"Show my wiki pages in Ayanza."

Troubleshooting Ayanza MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Ayanza + Pydantic AI FAQ

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