Can my AI automatically rewrite an older story using Arc Native Schema and safely publish the update?

Absolutely. Ask your agent to fetch a specific story by its ID. It understands the complex JSON structure of ANS, allows you to instruct it on what changes to make (e.g., 'Update the headline and add this new quote to paragraph 3'), and can dispatch an update command that preserves the content tree without breaking the CMS.

Is it possible to find specific high-res photos inside the ArcXP Media Library using natural language?

Yes! Use the photo assets search action to query tags or captions using descriptive words. The AI fetches the asset ID, caption, credit strings, and directly accessible image URLs, letting you browse your editorial imagery seamlessly.

Can I query what articles a specific editor has authored?

Yes! You can retrieve the Editor ID from the Author service and run an Elasticsearch query targeting their author object in the search tool. This quickly compiles all the CMS output for that specific reporter.

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

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

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

Connect your ArcXP environment to any AI agent and take full control of your newsroom CMS through natural conversation.

Pydantic AI validates every ArcXP 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

Content Management — Create, fetch, update, and forcefully delete Arc Native Schema (ANS) stories directly without entering the Editor
Advanced Search — Query your entire CMS library using powerful Elasticsearch-based syntax to find specific articles or historical reports
Media Library — Search and retrieve high-resolution photo assets, thumbnails, and transcoding stream playlists for videos
Author Service — List newsroom publishers, query specific reporter biographies, and manage author profiles

The ArcXP 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 ArcXP to Pydantic AI via MCP

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

Why Use Pydantic AI with the ArcXP MCP Server

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

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

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

ArcXP + Pydantic AI Use Cases

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

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

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

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

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

ArcXP MCP Tools for Pydantic AI (10)

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

create_ans_content

The payload_json MUST strictly comply with the requested Arc Native Schema (ANS) version. Create new content in the Arc XP Content CMS

delete_ans_content

Use with extreme caution as this destroys datacenter assets irreversibly. Delete content from the Arc XP Content CMS

get_ans_content

Returns the complete JSON payload matching the Arc Native Schema (ANS). Fetch content from the Arc XP Content API

get_content_author

Retrieve a publisher profile/author from Arc XP

get_photo_asset

Retrieve a specific photo asset from Arc XP Media Library

get_video_asset

Retrieve a specific video asset from Arc XP Video Center

list_content_authors

List authors available in the Arc XP Author Service

search_ans_content

Returns matching ANS JSON objects. Search for content residing in the Arc XP Newsroom

search_photo_assets

Search for photo assets in the Arc XP Media Library

update_ans_content

Required to publish revisions to articles. Update existing content in the Arc XP Content CMS

Example Prompts for ArcXP in Pydantic AI

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

"Fetch the article JSON payload for ID MZG5X1..."

"Search our ArcXP newsroom for all stories containing 'Election 2024'..."

"List the first 20 registered editors in our CMS."

Troubleshooting ArcXP MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ArcXP + Pydantic AI FAQ

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