VS Code CopilotIDE

Videco MCP Server

Bring Video Campaigns
to VS Code Copilot

Name: Videco MCP Server
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

Learn how to connect Videco to VS Code Copilot and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Check Videco StatusCreate CampaignCreate VideoGet CampaignGet LeadGet VideoGet Video AnalyticsList CampaignsList LeadsList Videos

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Videco MCP Server?

Connect your Videco account to any AI agent and manage personalized videos, campaigns, leads, and analytics through natural conversation.

What you can do

Video Management u2014 Create, list, and review personalized videos from your template library
Campaign Management u2014 Create and monitor video campaigns with audience targeting and delivery metrics
Lead Tracking u2014 Access all leads captured from video interactions with engagement scores
Video Analytics u2014 View detailed metrics including views, watch time, drop-off points, and CTA click rates
Template-Based Creation u2014 Generate new personalized videos instantly from existing templates

How it works

Subscribe to this server
Retrieve your API Key from your Videco account settings
Start managing video campaigns from Claude, Cursor, or any MCP client

Who is this for?

Sales Teams u2014 create personalized prospecting videos and track engagement per lead
Marketing Teams u2014 launch video campaigns and monitor conversion metrics
Customer Success u2014 send personalized onboarding videos and track completion rates

Built-in capabilities (10)

check_videco_status

Verify Videco API connectivity

create_campaign

Create a campaign

create_video

Create a personalized video

get_campaign

Get campaign details

get_lead

Get lead details

get_video

Get video details

get_video_analytics

Get video analytics

list_campaigns

List all campaigns

list_leads

List all leads

list_videos

List all videos

Why VS Code Copilot?

GitHub Copilot Agent mode brings Videco data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

—
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
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Project-scoped MCP configs (.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
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Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
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GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

See it in action

Videco in VS Code Copilot

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Videco and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Videco to VS Code Copilot through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for VS Code Copilot →

Enterprise Security

Why teams choose Vinkius for Videco in VS Code Copilot

The Videco 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in VS Code Copilot only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Videco details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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

The Vinkius Advantage

How Vinkius secures
Videco for VS Code Copilot

Every tool call from VS Code Copilot to the Videco MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

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.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.