LangChainFramework

Videco MCP Server

Bring Video Campaigns
to LangChain

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

Learn how to connect Videco to LangChain 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 LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Videco 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.

—
The largest ecosystem of integrations, chains, and agents. combine Videco 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 Videco queries for multi-turn workflows

See it in action

Videco in LangChain

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 LangChain 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 LangChain →

Enterprise Security

Why teams choose Vinkius for Videco in LangChain

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 LangChain 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 LangChain

Every tool call from LangChain 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.

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.

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

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