Can my agent create new content objects in Cosmic?

Yes. Use the 'create_cms_object' tool. Provide the type slug, title, and a JSON object for metadata. The agent will command the backend to generate a new entry in your specified bucket.

How do I audit the schema of an existing Object Type?

Provide the type slug to the 'get_schema_details' tool. Your agent will analyze the specific localized variables and decode the native boundaries, showing you exactly which fields and metadata parameters the schema requires.

Can I permanently delete media assets via the agent?

Absolutely. The 'wipe_media_asset' tool allows you to irreversibly remove physical media from your Cosmic buckets. This is a powerful way to manage your storage quotas and cleanup dangling files directly from the chat.

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

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

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

Connect your Cosmic bucket to any AI agent and take full control of your AI-powered headless CMS and digital content workflows through natural conversation.

Pydantic AI validates every Cosmic 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

Object Management — List, retrieve, and create CMS objects across your buckets, allowing you to drop formatted JSON payloads feeding strictly verified metadata trees
Content Mutation — Safely update existing objects by patching title and metadata blocks, substituting draft values natively through the REST API
Schema Auditing — Enumerate active object types and retrieve structural extraction of properties to verify exactly what fields and metadata the schema requires
Media Oversight — Inspect deep internal arrays of uploaded media, track imgix endpoints, and resolve explicit file metadata for seamless asset management
Bucket Cleanup — Irreversibly vaporize explicit app nodes and wipe media assets to manage storage quotas and clear up internal database allocations
Environment Navigation — Identify bounded routing spaces inside your headless environments and switch between different content models (type slugs) easily

The Cosmic 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 Cosmic to Pydantic AI via MCP

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

Why Use Pydantic AI with the Cosmic MCP Server

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

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

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

Cosmic + Pydantic AI Use Cases

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

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

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

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

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

Cosmic MCP Tools for Pydantic AI (10)

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

create_cms_object

Provision a highly-available JSON Payload generating new Cosmic Drafts

get_media_asset

Retrieve the exact structural matching verifying explicit Media IDs

get_schema_details

Perform structural extraction of properties driving active Fields

get_single_object

Retrieve explicit Cloud logging tracing explicit Payload IDs limitlessly

list_bucket_objects

Identify bounded routing spaces inside the Headless Cosmic CMS Environments

list_schema_types

Enumerate explicitly attached structured rules exporting active Types

list_uploaded_media

Inspect deep internal arrays mitigating specific Picture limits

patch_cms_object

Mutate global Web CRM boundaries substituting Draft values via ID

wipe_cms_object

Irreversibly vaporize explicit App nodes dropping live Document rows

wipe_media_asset

Dispatch an automated validation check routing explicit Disk removals

Example Prompts for Cosmic in Pydantic AI

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

"List all objects of type 'posts' in my Cosmic bucket"

"Create a new 'event' object: Title 'Developer Meetup', Date '2024-05-15'"

"Show me the details for object type 'products'"

Troubleshooting Cosmic MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Cosmic + Pydantic AI FAQ

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