How to Use the Transloadit MCP in Pydantic AI

Q: What specific tools are available for managing assemblies with Transloadit and Pydantic AI?

You have createassembly to start a job, getassembly to check status, and listassemblies to see the full history. These functions ensure your data processing steps are always predictable.

Q: How does Transloadit help with template management using Pydantic AI?

Your agent can use createtemplate, gettemplate, and updatetemplate to manage rules. Because of the type-safe environment, any modification must conform to expected data models.

Q: Can Pydantic AI retrieve billing records from Transloadit's MCP Server?

Yes. Your agent calls getbill(month) which returns structured financial reports for a specific month, allowing your code to process the data reliably.

Q: If I need to re-run an assembly job with Transloadit using Pydantic AI, what tool do I use?

You call replayassembly(assemblyid). This sends a clean signal to the MCP Server to restart the process without requiring any changes to your underlying code.

Build type-safe data pipelines for your Pydantic AI agent client.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Transloadit MCP to Pydantic AI

Create your Vinkius account to connect Transloadit 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.

GDPR Free for Subscribers

Setup Transloadit with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage File Processing Lifecycle with MCP Server

Your agents can start a job using `create_assembly`, knowing that the API response structure is guaranteed by Pydantic. To check on it, they call `get_assembly`. If needed, calling `list_assemblies` gives them a full history of runs. If the data needs to be refreshed, your agent can use `replay_assembly` for a clean re-run.

Create and Update Processing Templates with Pydantic AI

The system uses templates to define how files are processed. Agents write new rules via `create_template`. They can review existing ones using `get_template`, or list all available definitions with `list_templates`. When logic shifts, your agent calls `update_template(id, data)`—and Pydantic validates the input to prevent bad schemas.

Audit and Context Retrieval for Pydantic AI

Before acting, an agent verifies connectivity using `get_me`, ensuring all context is valid. For cost management, they pull monthly summaries with `get_bill`. Furthermore, the MCP Server allows them to clean up old rules using `delete_template`. Every interaction provides a schema-validated output, making data integrity paramount.

Setup guide

Set up Transloadit 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": {
        "transloadit-alternative-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Transloadit. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Transloadit now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Transloadit MCP in Pydantic AI

You have `create_assembly` to start a job, `get_assembly` to check status, and `list_assemblies` to see the full history. These functions ensure your data processing steps are always predictable.

Your agent can use `create_template`, `get_template`, and `update_template` to manage rules. Because of the type-safe environment, any modification must conform to expected data models.

Yes. Your agent calls `get_bill(month)` which returns structured financial reports for a specific month, allowing your code to process the data reliably.

You call `replay_assembly(assembly_id)`. This sends a clean signal to the MCP Server to restart the process without requiring any changes to your underlying code.

The server primarily touches file processing metadata and financial billing information. This includes assembly IDs, template definitions, and monthly usage records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript