How to Use the Watchmode Streaming Availability MCP in LangChain

Q: How do I search for titles with Watchmode Streaming Availability using LangChain?

Call searchtitles first. This tool searches across over 200 global platforms to find where a movie or show is available right now. Your AI client gets back an initial list of matches, letting you confirm the title and region.

Q: Does Watchmode Streaming Availability support regional filtering with LangChain?

Yes. The listsources tool lets your agent filter results by country, ensuring that the streaming availability data is accurate for the user's location. It’s critical to check this before making plans.

Q: If I find a title via LangChain, how do I get all its associated details?

After running searchtitles, grab the title ID and pass it to gettitledetails. This single call pulls comprehensive metadata, including streaming sources and cast information, giving you everything in one go.

Q: What if I want to know what's coming soon? Can LangChain help?

Absolutely. Use listreleases to check for upcoming titles on major platforms. This lets your agent proactively inform the user before the content even hits streaming availability.

Determine any show's streaming status using LangChain and our MCP Server.

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Connect Watchmode Streaming Availability MCP to LangChain

Create your Vinkius account to connect Watchmode Streaming Availability to LangChain — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Watchmode Streaming Availability with LangChain

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ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Multi-Step Title Search with LangChain

Start by calling `search_titles` to find matching titles across 200+ platforms. The agent can then take the initial result and pass it directly to `get_title_details`. This chained process ensures you get basic metadata, followed immediately by rich source information. LangChain's ReAct agents excel at this kind of decision-making. You build a pipeline where one tool’s output—like a title ID—becomes the guaranteed input for the next tool call, minimizing wasted steps.

Deep Source Verification via MCP Server

Need to know *exactly* which services carry content? Use `get_title_sources` after finding a title. This returns all streaming sources available in a region. You can then follow up with `list_titles`, filtering by that specific source, to see other shows the user might like. This flow lets your agent move from 'What' is it?' to 'Where specifically can I find it?' and then finally to 'What else should I watch?' It’s a structured path of investigation.

Building Discovery Pipelines with LangChain

You don't just search; you plan. An agent can first use `list_genres` and then iterate through the results, calling `list_titles` for each genre to build a full catalog view. This allows multi-server aggregation of discovery data. This approach is ideal when the user goal is vague—they just want 'good stuff.' The MCP Server helps your agent systematically gather evidence from different angles.

Setup guide

Set up Watchmode Streaming Availability MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Watchmode Streaming Availability tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "streaming-availability-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Watchmode Streaming Availability transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

Call `search_titles` first. This tool searches across over 200 global platforms to find where a movie or show is available right now. Your AI client gets back an initial list of matches, letting you confirm the title and region.

Yes. The `list_sources` tool lets your agent filter results by country, ensuring that the streaming availability data is accurate for the user's location. It’s critical to check this before making plans.

After running `search_titles`, grab the title ID and pass it to `get_title_details`. This single call pulls comprehensive metadata, including streaming sources and cast information, giving you everything in one go.

Absolutely. Use `list_releases` to check for upcoming titles on major platforms. This lets your agent proactively inform the user before the content even hits streaming availability.

This server primarily touches public metadata, including Title names, Genre tags, Cast/Crew lists, and geographical Source availability. It does not handle personal viewing habits.

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