How to Use the Flotiq MCP in LlamaIndex

Q: How do I index Flotiq content objects into LlamaIndex via MCP?

You use listcontentobjects to fetch your raw Flotiq text records, which the LlamaIndex data connector then parses into nodes and embeds into your vector database.

Q: How does LlamaIndex prevent API rate limits on Flotiq using MCP?

Your agent runs gettenantlimits to read your Flotiq API quotas, allowing LlamaIndex to throttle its indexing loops and avoid triggering rate limit blocks.

Q: Can I retrieve detailed logs of specific Flotiq CMS objects in LlamaIndex?

Yes, getcontentdetails fetches the exact payload history and metadata for any Flotiq object, giving your LlamaIndex agent the full context of a specific record.

Index live Flotiq schemas and content objects directly into LlamaIndex vector stores using our managed MCP server.

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Connect Flotiq MCP to LlamaIndex

Create your Vinkius account to connect Flotiq to LlamaIndex 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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Index Flotiq schemas into LlamaIndex

`list_all_content_types` extracts your active Flotiq model structures so LlamaIndex can build a local semantic index of your CMS architecture. Your LlamaIndex agent queries this index to understand how your Flotiq content is structured without making redundant API calls. This eliminates hallucinations when the LlamaIndex agent designs new Flotiq content models. By grounding the agent's knowledge in your actual Flotiq schema definitions, LlamaIndex ensures that any generated content perfectly matches your database requirements.

Search Flotiq content with LlamaIndex RAG

`search_global_content` queries your headless Flotiq database to feed real-time CMS records directly into LlamaIndex retrieval pipelines. This merges live website data with your vector index to answer user questions with absolute accuracy. This MCP integration bypasses static Flotiq data exports entirely for LlamaIndex. Your LlamaIndex agent pulls fresh Flotiq content objects on demand, ensuring your RAG applications always serve current information rather than stale, cached documents.

Audit Flotiq media assets via LlamaIndex

`list_media_assets` retrieves metadata for your Flotiq images and files, letting LlamaIndex index your media library for fast semantic retrieval. Your LlamaIndex agent can search this asset index to find and link existing media to new Flotiq content objects. This prevents duplicate file uploads to your Flotiq account during LlamaIndex runs. By keeping a searchable index of your Flotiq media library, the LlamaIndex agent quickly identifies matching assets.

Setup guide

Set up Flotiq MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Flotiq MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Flotiq tools.",
)
response = await agent.run("List recent Flotiq data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Flotiq. 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.

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Common questions about Flotiq MCP in LlamaIndex

You use `list_content_objects` to fetch your raw Flotiq text records, which the LlamaIndex data connector then parses into nodes and embeds into your vector database.

Yes, after finding relevant context in your LlamaIndex vector store, the agent can use `patch_cms_object` to update the corresponding content record in Flotiq.

Your agent runs `get_tenant_limits` to read your Flotiq API quotas, allowing LlamaIndex to throttle its indexing loops and avoid triggering rate limit blocks.

Yes, `get_content_details` fetches the exact payload history and metadata for any Flotiq object, giving your LlamaIndex agent the full context of a specific record.

Your Flotiq CMS schemas and content objects are processed inside isolated, zero-trust V8 execution environments on Vinkius. Your Flotiq credentials are never exposed to the LlamaIndex vector store or external LLM providers.

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