How do I get an Elemeno API Key?

Log in to your Elemeno dashboard, select your project, navigate to **Settings > API**, and you can retrieve your unique API Key from there.

Does the integration support draft content?

Yes, you can use the list_collection_items tool to see all items, including their status (e.g., draft or published). Specific content retrieval depends on your API key permissions.

Can the agent update content via the API?

This integration currently focuses on listing and auditing content. Creating or updating items and singletons should be managed via the Elemeno dashboard or specific management API endpoints.

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

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

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

Integrate Elemeno, the headless CMS designed for developers, directly into your AI workflow. Manage your content collections and singletons (global pages), track individual items and their publishing statuses, monitor field schemas, and oversee your entire content library using natural language.

Pydantic AI validates every Elemeno 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

Collection Oversight — List and retrieve detailed information and field schemas for all your content collections.
Content Intelligence — Monitor individual collection items, resolving titles, slugs, and real-time publishing statuses.
Singleton Management — Access and monitor singleton content blocks, resolving global settings and unique page data.
Content Auditing — Retrieve high-level summaries of collection activity, item counts, and organizational CMS health.

The Elemeno 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 Elemeno to Pydantic AI via MCP

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

Why Use Pydantic AI with the Elemeno MCP Server

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

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

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

Elemeno + Pydantic AI Use Cases

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

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

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

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

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

Elemeno MCP Tools for Pydantic AI (10)

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

get_collection_details

Get detailed settings and field schema for a specific collection

get_collection_item_details

Get full content and metadata for a specific item in a collection

get_elemeno_account_metadata

Retrieve metadata and limits for your Elemeno account

get_singleton_content

Get the full content data for a specific singleton

list_collection_items

List all content items within a specific collection

list_content_collections

List all content collections configured in your Elemeno account

list_content_singletons

List all singleton content blocks (unique global pages/settings)

list_published_content

Identify items that are currently in a "Published" status

quick_content_volume_audit

Retrieve a high-level summary of collection and singleton activity

search_collection_content

Search for items within a collection using a title or slug keyword

Example Prompts for Elemeno in Pydantic AI

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

"List all content collections in my project."

"Show me the items in the 'Services' collection."

"What is the content of the 'Contact Page' singleton?"

Troubleshooting Elemeno MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Elemeno + Pydantic AI FAQ

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