Can my agent list all categories in a specific project version?

Yes. Use the 'list_categories' tool. Provide the project version ID, and the agent will retrieve the explicitly attached categories and their physical groupings within that version.

How do I search for a specific topic across my knowledge base via chat?

Provide your search query to the 'search' tool. Your agent will execute immediate semantic queries to discover strictly mapped textual responses and articles active inside your KB.

Can I monitor live traffic metrics through the agent?

Absolutely. Use the 'analytics' tool. You can specify a date range (from/to), and the agent will pull available metrics exposing explicit traffic ranges and visitor interaction stamps for your portal.

Document360 MCP Server for Pydantic AI 7 tools — connect in under 2 minutes

Name: Document360
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 7 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Document360 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 Document360 "
            "(7 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Document360?"
    )
    print(result.data)

asyncio.run(main())

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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 Document360 MCP Server

Connect your Document360 portal to any AI agent and take full control of your enterprise knowledge base and documentation workflows through natural conversation.

Pydantic AI validates every Document360 tool response against typed schemas, catching data inconsistencies at build time. Connect 7 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 & Version Navigation — Analyze specific localized versions mapping exactly which documentation segments exist globally across your portal
Categorical Orchestration — Extract explicitly attached categories bounding physical groupings active inside specific project versions
Article Management — Perform structural extraction of explicit document lists and retrieve raw content texts securely via unique IDs
Semantic Search — Execute immediate semantic queries discovering strictly mapped textual responses active inside your knowledge base
Team & Author Oversight — Retrieve complex RBAC profiles outlining registered authors physically mapped against workspace boundaries
Analytics & Traffic Auditing — Read available metrics exposing explicit traffic ranges and visitor interaction stamps to monitor KB performance

The Document360 MCP Server exposes 7 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 Document360 to Pydantic AI via MCP

Follow these steps to integrate the Document360 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 7 tools from Document360 with type-safe schemas

Why Use Pydantic AI with the Document360 MCP Server

Pydantic AI provides unique advantages when paired with Document360 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 Document360 integration code

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

Dependency injection system cleanly separates your Document360 connection logic from agent behavior for testable, maintainable code

Document360 + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Document360 MCP Server delivers measurable value.

Type-safe data pipelines: query Document360 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Document360 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Document360 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Document360 responses and write comprehensive agent tests

Document360 MCP Tools for Pydantic AI (7)

These 7 tools become available when you connect Document360 to Pydantic AI via MCP:

analytics

Get knowledge base analytics

get_article

Get article content

list_articles

List articles in a category

list_categories

List categories in a version

list_projects

List project versions

list_team

List team accounts

search

Search articles

Example Prompts for Document360 in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Document360 immediately.

"List all versions for my Document360 project"

"Search for 'Single Sign On setup' in my KB"

"Show me knowledge base analytics from the last 30 days"

Troubleshooting Document360 MCP Server with Pydantic AI

Common issues when connecting Document360 to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Document360 + Pydantic AI FAQ

Common questions about integrating Document360 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 Document360 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.