How to Use the Watchmode Streaming Availability MCP in LlamaIndex

Q: How can I find show availability with Watchmode Streaming Availability using LlamaIndex?

Start by calling searchtitles. The output from the MCP Server is perfect to index. Your LlamaIndex application can then answer questions like 'Where was that movie available last year?' using the stored data.

Q: Does Watchmode Streaming Availability support filtering regions with LlamaIndex?

Yes, you use listsources to get regionally filtered data. This output can be indexed and queried later, allowing your knowledge base to distinguish between US vs. UK streaming availability.

Q: If I want full title details, what tools should I use with LlamaIndex?

Use gettitledetails. The resulting structured JSON is excellent for indexing because it bundles all necessary data—sources, cast, and descriptions—into one knowledge chunk.

Q: Can I track upcoming releases? Will this work with LlamaIndex?

You can use listreleases to gather future title information. This structured list then gets indexed, giving you a searchable timeline of what's coming next.

Index Watchmode streaming data for LlamaIndex RAG applications using our MCP Server.

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Setup Watchmode Streaming Availability with LlamaIndex

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Indexing Streaming Data with LlamaIndex

Use `search_titles` to find matches, and then index the full results into your vector store. This means that future queries about 'Where can I watch X?' won't rely on live API calls; they hit a searchable knowledge base built from past MCP Server data. The power here is building RAG apps where actual streaming availability records are part of the core, queryable index alongside documents.

Retrieving Deep Metadata via LlamaIndex

The `get_title_details` tool gives you all the metadata needed—casting, sources, etc. When passing this structured output to your FunctionAgent, it gets stored as richly grounded knowledge. You can then query past sessions and retrieve specific details about a title's full streaming profile. This means that when you ask 'What was the cast of the show we talked about last month?', LlamaIndex knows exactly where to look.

Cataloging Content with LlamaIndex

Use `list_genres` or `list_sources` to populate your knowledge base systematically. For example, running a query that lists all available genres allows you to index an entire taxonomy of content types. This systematic data capture ensures that the structure of the market information—the relationships between genre and source—is stored for later semantic search.

Setup guide

Set up Watchmode Streaming Availability 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 Watchmode Streaming Availability 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 Watchmode Streaming Availability tools.",
)
response = await agent.run("List recent Watchmode Streaming Availability 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 Watchmode. 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 Watchmode Streaming Availability MCP in LlamaIndex

Start by calling `search_titles`. The output from the MCP Server is perfect to index. Your LlamaIndex application can then answer questions like 'Where was that movie available last year?' using the stored data.

Yes, you use `list_sources` to get regionally filtered data. This output can be indexed and queried later, allowing your knowledge base to distinguish between US vs. UK streaming availability.

Use `get_title_details`. The resulting structured JSON is excellent for indexing because it bundles all necessary data—sources, cast, and descriptions—into one knowledge chunk.

You can use `list_releases` to gather future title information. This structured list then gets indexed, giving you a searchable timeline of what's coming next.

The server touches public metadata: Titles, Genres, Cast/Crew, and Source availability. Nothing personal is recorded; it’s all about content mapping.

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