Can I check if a video has been processed and is active?

Yes! Use the `get_video` tool with the Video ID. Your agent will fetch the current state, showing if it is 'ACTIVE', 'INACTIVE', or still being processed.

How do I list all the videos with a specific tag?

Simply ask the agent to `list_videos` and provide a search query like `tags:summer`. It will retrieve all matching media assets from your library.

Does the integration allow creating a new playlist?

Yes. Use the `create_playlist` action and provide a name and type (e.g., EXPLICIT or SMART). You can then organize your videos into this new collection.

Brightcove MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Brightcove
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Brightcove through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "brightcove": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Brightcove, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Brightcove MCP Server

Connect your Brightcove Video Cloud account to any AI agent and orchestrate your video management, publishing, and analytics workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Brightcove through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Video Oversight — List all videos in your library, search by tags or metadata, and retrieve detailed technical specifications.
Playlist Management — Create, update, and manage playlists to organize your content for different platforms.
Metadata Control — Update video names, descriptions, and states (active/inactive) directly from your workspace.
Content Organization — Access and list folders to verify how your assets are structured.
Library Insights — Retrieve total video counts and monitor the status of individual media assets.

The Brightcove MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Brightcove to LangChain via MCP

Follow these steps to integrate the Brightcove MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Brightcove via MCP

Why Use LangChain with the Brightcove MCP Server

LangChain provides unique advantages when paired with Brightcove through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Brightcove MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Brightcove queries for multi-turn workflows

Brightcove + LangChain Use Cases

Practical scenarios where LangChain combined with the Brightcove MCP Server delivers measurable value.

RAG with live data: combine Brightcove tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Brightcove, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Brightcove tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Brightcove tool call, measure latency, and optimize your agent's performance

Brightcove MCP Tools for LangChain (10)

These 10 tools become available when you connect Brightcove to LangChain via MCP:

create_playlist

Create a new playlist

delete_video

Delete a video permanently

get_folder_videos

List videos within a specific folder

get_playlist

Get details of a specific playlist

get_video

Get details of a specific video

get_video_count

Get total number of videos in the account

list_folders

List all video folders

list_playlists

List all playlists

list_videos

List all videos in the account

update_video

Update metadata for a video

Example Prompts for Brightcove in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Brightcove immediately.

"List the last 5 videos added to my Brightcove account."

"Show the playlists I have configured."

"Find all videos tagged with 'tutorial'."

Troubleshooting Brightcove MCP Server with LangChain

Common issues when connecting Brightcove to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Brightcove + LangChain FAQ

Common questions about integrating Brightcove MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.