How to Use the Cloudflare Stream MCP in LlamaIndex
Index your video metadata and stream configurations into LlamaIndex for intelligent, searchable media management.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Cloudflare Stream MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 Cloudflare Stream MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
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place for every integration
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Common questions about Cloudflare Stream MCP in LlamaIndex
Use it with your favorite AI tools
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