Videco MCP for AI. Run campaigns, capture leads, and analyze video performance.
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…and any MCP-compatible client
Connect to your AI in seconds.
Videco lets you manage personalized video campaigns, from creation to lead capture, using your AI agent. You can generate custom videos from templates, launch targeted marketing campaigns, and pull detailed analytics on views, watch time, and lead engagement scores instantly.
What your AI can do
Check videco status
Verifies if the Videco API connection is working correctly.
Create campaign
Sets up a new video campaign targeting specific audiences.
Create video
Generates a brand-new personalized video from an existing template library.
List all videos in your library or retrieve specific details about any single video by its ID.
Create new, monitored video campaigns and view their overall performance metrics against defined goals.
Access a list of all captured leads, including detailed engagement scores tied directly to the content they viewed.
Get deep metrics on any video, showing things like total views, average watch time, and drop-off points for optimization.
Instantly create a personalized video asset by selecting an existing template and inputting custom data.
Ask an AI about this
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Videco - 10 Tools for Campaign Ops
Use these tools to manage the entire lifecycle of video assets, from initial creation through campaign deployment and final lead analysis.
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 Videco on VinkiusCheck Videco Status
Verifies if the Videco API connection is working correctly.
Create Campaign
Sets up a new video campaign targeting specific audiences.
Create Video
Generates a brand-new personalized video from an existing template library.
Get Video Analytics
Pulls detailed performance metrics for any given video, including watch time and...
Get Campaign
Retrieves detailed information about a specific campaign by its ID.
Get Lead
Fetches the full details for an individual lead record, including their engagement score.
Get Video
Gets specific metadata about a single video asset in your library.
List Campaigns
Retrieves a list of all active or past campaigns you've run.
List Leads
Lists all leads that have interacted with your video content.
List Videos
Retrieves a list of every personalized and template video you own.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Videco integration is available immediately — no restart needed.
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 Videco, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- 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 Videco. 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
Cloud Hosted
Managed infra
V8 Isolated
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 connection provides 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Tracking video engagement feels like a dashboard nightmare today.
Currently, tracking content performance means jumping between three separate tabs: the asset library for videos, the campaign manager for launch dates, and a CRM sheet for lead details. You spend hours copy-pasting view counts and cross-referencing which specific video drove which type of conversion.
With this MCP, you talk to your agent. It pulls all that data together—the views from `get_video_analytics`, the campaign status from `get_campaign`, and the resulting leads via `list_leads`—and gives you a single, actionable summary.
You get instant visibility into every lead's journey.
The most time-consuming part is following up. You need to know if the person who watched your demo video actually became a qualified contact, and what they were interested in specifically. Previously, you had to manually match an asset ID to a lead ID.
Now that `get_lead` connects directly to campaign data, your agent provides instant context: 'This lead viewed 75% of the product demo video on Tuesday.' It's specific, actionable, and ready for follow-up.
What your AI can actually do with this
Connect your Videco account to any AI client to handle your entire video content lifecycle through natural conversation. Need to know who saw what? You can list all existing assets or drill down into campaign specifics. The system generates personalized videos from templates, letting you quickly scale up prospecting material.
Beyond creation, you control the full marketing funnel: launch campaigns with specific audience targeting and monitor every lead captured from video interactions. This setup makes sure nothing falls through the cracks. When you combine this MCP with a CRM or billing MCP, for example, your agent can build an automated workflow that moves data—like a newly engaged lead ID—from the campaign tool directly into another service.
Because Vinkius manages all calls inside secure isolated sandboxes, your credentials pass through a zero-trust proxy; they never sit on a disk. You just talk to your agent, and it handles the complexity.
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Here's how it actually works
The bottom line is you talk naturally to your agent, and it handles the complex API calls to Videco for you.
Subscribe to this MCP on Vinkius and retrieve your API key from your Videco account settings.
Connect the MCP to any compatible AI client (like Cursor or Claude) using that single key.
Start by asking your agent a question, like 'List all my campaigns,' and watch it execute the calls in real time.
Who is this actually for?
Marketing Operations Managers who are tired of manually compiling campaign reports. Content Strategists who need to prove ROI on video assets quickly. Sales Development Representatives (SDRs) who constantly need new, personalized prospecting videos.
Uses the MCP to automatically list campaigns and aggregate lead data, eliminating manual report creation.
Creates personalized videos for prospects on demand and immediately checks the resulting engagement score after sending it out.
Uses analytics to see exactly where viewers drop off, informing which templates need revision or better CTAs.
What Changes When You Connect
Stop guessing about content performance. Use get_video_analytics to see detailed metrics like drop-off points and CTA click rates for every asset.
Accelerate outreach with create_video. Instead of manually building videos, you pass data through the tool and get a personalized asset instantly.
Close the loop on marketing spend. After running a campaign with list_campaigns, your agent can cross-reference results with get_lead to see exactly who was interested.
Never miss a contact again. The MCP handles all lead capture; just ask the agent to use list_leads and get a clean list of new contacts ready for follow-up.
Streamline your content pipeline by using create_campaign. You set parameters, and the tool manages deployment across target audiences.
See it in action
The SDR needs to qualify a high-value prospect.
Instead of cold calling, the agent uses get_lead to check a prospect's history. It then uses create_video with their company data, sending it out for review and tracking the engagement score.
The Marketing team is launching Q3 product education.
They use the agent to run list_campaigns, check performance via get_campaign, and then adjust targeting based on which segments are showing high views.
Customer Success needs to onboard a new client group.
The agent runs a campaign using create_video with the client's name. Later, they use list_videos to track completion rates and ensure all required training assets were delivered.
A Campaign Manager needs a performance audit.
They ask the agent to run get_video_analytics on the top-performing video, immediately seeing average watch time and identifying which specific CTAs drove the most clicks.
The honest tradeoffs
Assuming data is available
Asking for 'the analytics' without first running list_videos or providing a video ID.
Always start by listing assets. First, run list_videos to get the asset IDs, then use those IDs with get_video_analytics.
Overlooking lead details
Just seeing a raw list of emails from list_leads, but needing more context.
If you need to know why the lead is valuable, use get_lead for detailed information and engagement scoring.
Trying to build content without a plan
Running create_video with no campaign context, resulting in an asset that gets ignored.
Always use create_campaign first to define the scope and audience before generating or deploying any new video assets.
When It Fits, When It Doesn't
Use this MCP if your process is centered on personalized video content: you need to generate, launch, and measure campaigns. If your goal is simply to store raw lead data without tying it to a specific campaign asset, a generic contact list API might be better. But if the core value comes from knowing which video segment caused a lead's interest—that’s where this MCP wins. Use get_video_analytics when you need hard numbers (CTR, watch time); use get_lead when you need to know the qualitative status of an individual contact.
Questions you might have
How do I start a new marketing campaign using `create_campaign`? +
You first need to tell your agent what the goal is and who the audience is. The tool then uses those parameters to set up the deployment schedule and targeting rules.
`list_leads` gives me names, but how do I find out if they're qualified? +
You need to run get_lead on a specific lead ID. That tool provides detailed information, including an engagement score that tells you their current status.
Can I see analytics for multiple videos at once using `get_video_analytics`? +
The tool retrieves metrics for one video at a time. For a full report, list the relevant assets with list_videos, then ask the agent to run get_video_analytics sequentially.
Do I need an API key just to use `check_videco_status`? +
Yes. The MCP requires an API Key for all calls, even status checks. This ensures the agent can validate connectivity before attempting any write operations.
When using `list_videos`, how can I filter the output by date range or status? +
The function accepts filtering parameters in its input payload. You specify criteria like start_date or status=draft. This lets your agent narrow down results, grabbing only videos that match specific requirements and keeping the data focused.
If I run `get_campaign` and the campaign status is 'failed', what information do I get? +
The response includes a dedicated error log section. This log specifies the failure code, the exact step that failed in the process, and often provides an actionable message explaining how to correct it.
After using `get_lead`, how can I find out which video generated that lead? +
The detailed lead object contains a field called source_video_id. Your agent reads this ID to directly link the captured lead back to its originating personalized video asset, making attribution simple.
How is my data secured when using `create_video` via your agent? +
All tool calls execute through Vinkius' zero-trust proxy. This means credentials are used only in transit and never stored on disk, keeping your connection secure regardless of which compatible client you use.
How do I create a personalized video via AI? +
Use the create_video tool with a name and template ID. The personalized video is generated instantly from your Videco templates.
Can I track video engagement and leads? +
Yes. Use get_video_analytics for views, watch time, and CTR, and list_leads to see all captured lead contacts with engagement scores.
How do I create and manage video campaigns? +
Use create_campaign with a name and video ID to launch a campaign, then list_campaigns and get_campaign to track performance.
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