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 LlamaIndex 9 tools — connect in under 2 minutes

Name: Fluxiom
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Fluxiom as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Fluxiom. "
            "You have 9 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Fluxiom?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine Fluxiom tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Fluxiom MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the Fluxiom MCP Server

LlamaIndex provides unique advantages when paired with Fluxiom through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Fluxiom tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Fluxiom tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Fluxiom, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Fluxiom tools were called, what data was returned, and how it influenced the final answer

Fluxiom + LlamaIndex Use Cases

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

Hybrid search: combine Fluxiom real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Fluxiom to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Fluxiom for fresh data

Analytical workflows: chain Fluxiom queries with LlamaIndex's data connectors to build multi-source analytical reports

Fluxiom MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Fluxiom to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Fluxiom + LlamaIndex FAQ

Common questions about integrating Fluxiom MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Fluxiom tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.