How do I get an API Key for Fluxiom?

You can find your API token in your Fluxiom user account settings under the Integrations or API section.

What is a 'Stage' in Fluxiom?

A 'Stage' is a branded portal or collection used to share curated sets of files with external partners or clients.

Can I manage file versions using the agent?

Yes, the 'get_asset_versions' tool allows you to retrieve the complete history of updates for any specific digital asset.

Does Fluxiom support high-res previews?

Yes, Fluxiom generates previews for common image, video, and document formats automatically.

Fluxiom MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Fluxiom
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

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

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

Connect your Fluxiom account to any AI agent to automate your Digital Asset Management (DAM) and sharing workflows. Fluxiom provides a streamlined platform for storing, organizing, and distributing your brand's files. This MCP server enables you to manage your asset library, apply organizational tags, and oversee your sharing portals (Stages) directly through natural conversation.

Pydantic AI validates every Fluxiom tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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

Asset Management — List all digital assets, fetch detailed metadata, and update or delete files instantly.
Dynamic Tagging — Create and apply organizational tags to categorize your library programmatically.
Branded Portals — Access and list your sharing portals or 'Stages' to monitor how your files are being distributed.
Version Control — Retrieve the complete version history for any asset to track updates and changes.
Search & Filter — Efficiently locate specific files using full-text search and tag-based filtering.
Account Oversight — Fetch detailed account attributes and metadata to maintain full context of your DAM environment.

The Fluxiom MCP Server exposes 9 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 Fluxiom to Pydantic AI via MCP

Follow these steps to integrate the Fluxiom 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 9 tools from Fluxiom with type-safe schemas

Why Use Pydantic AI with the Fluxiom MCP Server

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

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

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

Fluxiom + Pydantic AI Use Cases

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

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

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

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

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

Fluxiom MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Fluxiom to Pydantic AI via MCP:

create_tag

Create a new tag

delete_asset

Remove an asset

get_account_details

Get account attributes

get_asset

Get asset details

get_asset_versions

Get asset version history

list_assets

List digital assets

list_stages

List branded portals (Stages)

list_tags

List organizational tags

update_asset

Update asset metadata

Example Prompts for Fluxiom in Pydantic AI

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

"List all digital assets tagged with 'Marketing'."

"Show me the version history for asset ID '12345'."

"Add the tag 'Archive' to the asset 'Logo_Final.png'."

Troubleshooting Fluxiom MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Fluxiom + Pydantic AI FAQ

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