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 CrewAI 10 tools — connect in under 2 minutes

Name: Brightcove
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Brightcove through Vinkius, pass the Edge URL in the `mcps` parameter and every Brightcove tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Brightcove Specialist",
    goal="Help users interact with Brightcove effectively",
    backstory=(
        "You are an expert at leveraging Brightcove tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Brightcove "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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DLPData protection

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Ed25519Audit chain

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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.

When paired with CrewAI, Brightcove becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Brightcove tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Brightcove

Why Use CrewAI with the Brightcove MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Brightcove through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Brightcove + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Brightcove for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Brightcove, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Brightcove tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Brightcove against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Brightcove MCP Tools for CrewAI (10)

These 10 tools become available when you connect Brightcove to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Brightcove + CrewAI FAQ

Common questions about integrating Brightcove MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.