How do I find my Wolai App ID and Secret?

Log in to Wolai, go to [Personal Center] → [Space Settings] → [App Settings], and create a 'Self-built App' to generate your App ID and App Secret.

Can I search for specific data within a database?

Yes. Use the `query_database` tool with the database ID. You can optionally provide a JSON filter string to narrow down the results based on your criteria.

What is a 'Block' in Wolai?

Like Notion, Wolai uses a block-based structure. Everything from a paragraph of text to an image or a sub-page is considered a block. You can list these using the `list_blocks` tool.

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

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

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

Empower your AI agent to orchestrate your knowledge base with Wolai, the versatile information organization platform. By connecting Wolai to your agent, you transform complex page organization and database management into a natural conversation. Your agent can instantly list your pages, retrieve block-level content, manage multi-dimensional databases, and even create new entries without you needing to navigate the complex web interface. Whether you are managing personal notes, project documentation, or shared team databases, your agent acts as a real-time knowledge assistant, keeping your workspace organized and your information accessible.

Pydantic AI validates every Wolai 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

Page Orchestration — List all accessible pages and retrieve detailed metadata about your workspace structure.
Block Management — Browse content blocks within pages to access text and media information instantly.
Database Control — Manage multi-dimensional tables (databases) with full support for querying and creating new rows.
Workspace Organization — Create and update pages to maintain a clean and structured knowledge base.
Team Coordination — Access workspace user lists to manage participation and collaboration effectively.

The Wolai 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 Wolai to Pydantic AI via MCP

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

Why Use Pydantic AI with the Wolai MCP Server

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

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

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

Wolai + Pydantic AI Use Cases

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

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

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

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

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

Wolai MCP Tools for Pydantic AI (10)

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

create_database_row

Add row to database

create_page

Create a new Wolai page

get_database

Get database schema

get_page

Get page details

get_workspace_info

Get workspace details

list_blocks

) within a specific page. List page blocks

list_databases

List all Wolai databases

list_pages

List all Wolai pages

list_users

List workspace users

query_database

Query database rows

Example Prompts for Wolai in Pydantic AI

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

"List all pages in my Wolai workspace."

"Query the 'Product Backlog' database for items with 'High' priority."

"Create a new page in Wolai titled 'Weekly Sprint Notes'."

Troubleshooting Wolai MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Wolai + Pydantic AI FAQ

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