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How to Use the Cloudflare Stream MCP in LlamaIndex

Index your video metadata and stream configurations into LlamaIndex for intelligent, searchable media management.

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LlamaIndex

Connect Cloudflare Stream MCP to LlamaIndex

Create your Vinkius account to connect Cloudflare Stream 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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Query your video library with LlamaIndex

Use `list_videos` to pull data into your knowledge base. LlamaIndex then indexes these details so you can ask natural language questions about your media library. Stop searching through dashboards. Your agent answers questions about file status or upload history by querying the local vector index.

Ground media decisions in LlamaIndex

By feeding output from `get_video` into your index, you prevent your agent from hallucinating about file properties. It relies on the actual API response for every answer. Your RAG pipeline stays updated as you add new content. The agent always has the latest view of your account storage and settings.

Automate signing keys in LlamaIndex

Generate keys with `create_signing_key` and store the metadata in your index. You can track which keys are in use without manually checking the API. It makes managing secure access tokens a background task. Your agent handles the rotation and lookup automatically.

Setup guide

Set up Cloudflare Stream MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

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

  4. 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 Cloudflare Stream tools.",
)
response = await agent.run("List recent Cloudflare Stream data")

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

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

Built-in savings

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

Common questions about Cloudflare Stream MCP in LlamaIndex

Use the MCP tool spec to fetch the video list. Pass that data into your indexer to build a searchable record of your media assets.
It can. Indexing your live stream configurations allows the agent to find active inputs based on their metadata.
The index persists your data locally. You control how long that information stays in your vector store.
Use the allowed_tools filter when initializing your agent. This limits which operations your index can actually perform.
Your keys are handled by the Vinkius managed environment. The agent only receives the authorized context required to execute the specific tool you invoked.

Start using the Cloudflare Stream MCP today

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Built & Managed by Vinkius 30s setup 26 tools

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