bluebarry.ai MCP. Coordinate agents, messages, and media analysis.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
bluebarry.ai connects your entire digital presence into one workflow engine. It lets you programmatically manage AI agents, run automated messaging campaigns via WhatsApp, and analyze video content from YouTube—all without touching a dashboard.
You stop jumping between tools; you just ask your agent to coordinate the work.
What your AI agents can do
Analyze youtube
Takes a YouTube URL and generates a summary of the video's contents.
Get agent
Retrieves specific details for an individual AI agent by name or ID.
Get automation status
Checks the current running status and detailed metadata of a single automation workflow.
Feed it a YouTube URL and get a detailed summary of what's in the video.
Retrieve a directory of all your configured AI agents and their current status.
Dispatch automated, official WhatsApp messages to specific contacts or groups.
Check the live status and metadata for any running automation process across platforms.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
bluebarry.ai: 6 Tools for Automation
These tools let your agent perform everything from summarizing video content to listing active workflows and sending messages.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using bluebarry.ai on Vinkius019dd0c3analyze youtube
Takes a YouTube URL and generates a summary of the video's contents.
019dd0c3get agent
Retrieves specific details for an individual AI agent by name or ID.
019dd0c3get automation status
Checks the current running status and detailed metadata of a single automation workflow.
019dd0c3list agents
Provides an overview list of every AI agent configured in your account.
019dd0c3list automations
Generates a comprehensive list and status report for all active automation processes.
019dd0c3send whatsapp
Sends an automated, structured message to a specified recipient via WhatsApp.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with bluebarry.ai, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by bluebarry.ai. 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.
VINKIUS INFRASTRUCTURE
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Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 6 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Juggling dashboards and APIs is exhausting.
Right now, if you need to summarize video content *and* send a follow-up message, you open the YouTube platform, copy the key points. Then you switch over to your messaging service, paste those points into the compose window, hit send, and then check a third dashboard just to confirm the workflow actually ran.
With this MCP, your agent handles that entire sequence through natural conversation. You talk to it once, and it executes video analysis, coordinates the message draft, and sends the final output across platforms automatically.
Using list_automations provides complete process visibility.
Manual monitoring means logging into multiple systems to see if your automated outreach is running or if a campaign failed because of an API limit. You have to check the messaging platform, then the automation tool's status page, and maybe even the agent configuration dashboard.
Now, you ask your agent for the list of automations, and it gives you one consolidated report detailing everything that’s running across all connected services.
What you can do with this MCP connector
If you're running marketing or content workflows across multiple services, manually managing them is slow. This MCP lets you build complex routines that span messaging platforms, AI persona management, and media analysis. Instead of logging into a video tool, then copying results into a CRM, your agent handles the whole chain in one go.
For example, an agent can analyze a YouTube video for key takeaways, use those insights to draft talking points, and automatically send them out via WhatsApp—all triggered by a single conversation prompt. The real power comes when you combine these distinct actions; this platform allows you to build automations that span multiple services through one AI client connection.
You get full visibility into every step of the process using Vinkius AI Analytics, so nothing happens in the dark. This lets your agent act as an engineer for all your digital tools.
019dd0c3-f8a8-733a-8b16-49e5668d84fc 
How bluebarry.ai MCP Works
- 1 First, subscribe to this MCP and grab your API key from the bluebarry.ai dashboard.
- 2 Next, tell your agent exactly what you need—for example, 'Analyze this video' or 'Send a message.'
- 3 The system executes all necessary steps across different services and returns the structured data, letting you continue your conversation.
The bottom line is that it lets you treat your entire marketing tech stack like one unified command line.
Who Is bluebarry.ai MCP For?
Marketing Operations Managers and Content Engineers who spend their day toggling between video analytics platforms, messaging dashboards, and agent management consoles. You're tired of manual handoffs.
Needs to summarize competitor videos from YouTube and immediately draft follow-up outreach messages using WhatsApp.
Manages agent lifecycle, listing agents and checking automation status across dozens of connected services.
Needs to scale outreach by sending targeted WhatsApp messages based on content performance metrics.
What Changes When You Connect
- Stop manually switching between tools. By using this MCP, you can coordinate messaging (via
send_whatsapp) with content intelligence in one prompt. - Get instant visibility into your entire automation stack. You can use
list_automationsorget_automation_statusto know exactly what's running and if it failed. - Manage all your AI personas from a single source. Use
list_agentsto see every agent you have set up, plusget_agentfor deep metadata on any one of them. - Analyze video content without leaving your chat window. The
analyze_youtubetool summarizes complex videos into actionable text.
Real-World Use Cases
Analyzing competitor video trends
A marketing manager needs to know what's trending online. They ask the agent to run analyze_youtube on five competitor URLs, summarizing key technical points from each, and then use that consolidated report to draft a strategic plan for their team.
Onboarding new clients
An ops engineer needs to activate a client's account. They first run list_agents to confirm all required personas are set up, then use the agent to send a welcome message via send_whatsapp and check the status using get_automation_status.
Debugging broken workflows
An automation developer notices messages aren't sending. They immediately run list_automations to see which processes are active, use get_agent to check the connectivity of the messaging agent, and figure out why it failed.
Scaling content distribution
A content creator finishes a video. They ask the agent to run analyze_youtube on their own work, get key takeaways, list all available agents, and then use one of those agents to send personalized updates via send_whatsapp.
The Tradeoffs
Copy-pasting status reports
Manually checking the WhatsApp dashboard for sent messages, switching to a separate automation platform to see if the message was processed, and then writing a summary email. It takes 15 minutes.
→
Instead, ask your agent to check the delivery metadata using get_automation_status and synthesize the report directly into a single output.
Treating agents as silos
Using one tool just to list agents, then having another chat session to send a message. You lose context and have to repeat credentials.
→
Keep all actions in the same thread. Ask your agent to use list_agents first, then combine that data into an action like sending a WhatsApp update.
Guessing which tool to use
Running analyze_youtube when you actually need to check if the automation is running. This wastes tokens and gives you irrelevant data.
→
If your goal is process health, always start by calling list_automations. If your goal is content intelligence, use analyze_youtube.
When It Fits, When It Doesn't
Use this MCP if your workflow requires actions that jump across different platforms—for example, when video data must trigger a message send. Don't use it if you only need to read one type of data (e.g., just checking agent status). If the task is purely internal reporting on one platform, stick to that platform's native tools. This MCP shines when you chain together distinct services—like using analyze_youtube results to inform a subsequent message sent via send_whatsapp. It’s about orchestration; it's not just about data retrieval.
Common Questions About bluebarry.ai MCP
How do I find my bluebarry.ai API Key? +
Log in to your account, navigate to Account Settings > API, and copy your Bearer Token.
Can I summarize any YouTube video via AI? +
Yes! The analyze_youtube tool uses high-fidelity AI to process video URLs and return structured summaries directly to your agent.
Is the WhatsApp integration official? +
Absolutely. bluebarry.ai uses the official WhatsApp Business API for all automated messaging to ensure high-fidelity delivery.
What happens if I check an automation status using `get_automation_status`? +
It reports the current state of any running process. You get detailed metadata, including success codes or failure messages, so you know exactly why a workflow stopped or stalled.
How do I use `list_agents` to see all my configured AI personas? +
It lists every available AI agent in your account. This gives you a quick overview and the configuration settings for each persona, helping you remember what tools they have access to.
What information does `list_automations` provide about my active processes? +
It provides a comprehensive list of all running automations. You can view the overall status and detailed metadata for every single process you've set up, helping you track everything at once.
If I use `get_agent`, what kind of deep configuration details do I retrieve about a specific persona? +
You retrieve detailed configuration metadata for that single AI agent. This includes its current operational status and deep settings, which is useful when you need to troubleshoot or confirm setup.
What's the practical difference between using `list_agents` versus calling `get_agent`? +
Using list_agents gives you a broad overview of all your agents. Calling get_agent, however, drills down to provide deep configuration metadata for just one specific agent—perfect when you need to troubleshoot that single component.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.