Can I get a direct link to upload a video through the agent?

Yes! Use the `get_media_upload_url` tool. The agent will return a temporary URL that you can use to POST your video file directly to Cincopa's servers.

How do I see the metadata for a specific image or video?

Use the `get_asset_metadata` tool with the unique Resource ID (rid). Your agent will fetch detailed info like resolution, format, and size.

Where do I find my Cincopa API Token?

Log in to your Cincopa account and navigate to **Settings > API & Developers**. You can generate and copy your personal API token from there.

Cincopa MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Cincopa
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

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

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

Connect your Cincopa account to any AI agent and take full control of your video and media management through natural conversation. Streamline how you host and distribute content.

Pydantic AI validates every Cincopa tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

Gallery Oversight — List and retrieve details for all media galleries and folders natively
Asset Intelligence — Access detailed metadata for videos, images, and audio files flawlessly
Upload Automation — Retrieve temporary upload URLs to push new content to your platform securely
Template Management — List available gallery templates to ensure consistent branding flawlessly
Content Control — Create new galleries and delete unwanted assets directly from your chat interface flawlessly
Engagement Monitoring — Monitor media performance and usage metadata directly within your workspace

The Cincopa MCP Server exposes 8 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 Cincopa to Pydantic AI via MCP

Follow these steps to integrate the Cincopa 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 8 tools from Cincopa with type-safe schemas

Why Use Pydantic AI with the Cincopa MCP Server

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

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

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

Cincopa + Pydantic AI Use Cases

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

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

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

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

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

Cincopa MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Cincopa to Pydantic AI via MCP:

create_new_gallery

Create a new media gallery using a template

delete_media_asset

Permanently delete a media asset from the account

get_asset_metadata

Get detailed metadata for a specific media asset

get_gallery_details

Get detailed information for a specific gallery

get_media_upload_url

Retrieve a temporary URL for uploading new media files

list_cincopa_assets

List all media assets (videos, images, audio)

list_cincopa_galleries

List all media galleries in the account

list_cincopa_templates

List available gallery templates

Example Prompts for Cincopa in Pydantic AI

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

"List all my video galleries in Cincopa."

"Show me the metadata for asset RID 'AAAAtAURG'."

"Create a new gallery called 'Customer Interviews' using the 'Video Portal' template."

Troubleshooting Cincopa MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Cincopa + Pydantic AI FAQ

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