How to Use the Cincopa MCP in Pydantic AI

Q: How is media deletion handled safely?

Your agent must explicitly call deletemediaasset with a validated asset ID. Because the framework strictly enforces type constraints, there is no risk of the agent passing malformed or random strings to the deletion API.

Build type-safe media workflows with Pydantic AI and Cincopa to guarantee valid gallery schemas and asset data.

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Connect Cincopa MCP to Pydantic AI

Create your Vinkius account to connect Cincopa to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cincopa with Pydantic AI

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Type-safe gallery creation using Pydantic AI

Stop worrying about your agent sending malformed payloads when building galleries with `create_new_gallery`. Pydantic AI validates every parameter against strict schemas before executing the call. If the API returns unexpected layout structures, the framework raises a validation error immediately. This prevents corrupted gallery configurations from ever reaching your production frontends.

Validated media discovery via MCP Server

Read asset details with total runtime confidence by calling `list_cincopa_assets` or `get_asset_metadata`. The returned JSON is parsed directly into Pydantic models to guarantee type safety. Any missing fields or invalid data types in the Cincopa response trigger immediate, loud failures. You catch integration issues during development rather than discovering silent data corruption in production.

Secure, structured asset ingestion

Safely handle media uploads by requesting a destination using `get_media_upload_url`. The framework ensures the returned URL string strictly matches your model's format constraints before passing it to your code. After uploading, the agent verifies the new asset using `get_gallery_details`. This guarantees your media assets are correctly mapped to their respective galleries without structural errors.

Setup guide

Set up Cincopa MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "cincopa-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Cincopa tools.",
)

result = await agent.run("List recent Cincopa transactions")
print(result.output)

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Common questions about Cincopa MCP in Pydantic AI

Use the unified toolset class pointing to your Vinkius HTTP endpoint. Pass the toolset object in the toolsets list of your Agent constructor to expose tools like `list_cincopa_assets` instantly.

The framework immediately raises a validation error instead of passing bad data to your agent. This guarantees that tools like `get_asset_metadata` only deliver perfectly structured data to your run loops.

Yes, this setup is model-agnostic. You can connect the Cincopa tools to local LLMs or commercial models, and the framework will handle validation for tools like `list_cincopa_galleries` identically.

Your agent must explicitly call `delete_media_asset` with a validated asset ID. Because the framework strictly enforces type constraints, there is no risk of the agent passing malformed or random strings to the deletion API.

Your API tokens and Cincopa upload URLs are isolated within secure V8 sandboxes. The server processes raw video assets and metadata on the fly without caching anything to persistent storage.

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