Videco MCP Server for LangChainGive LangChain instant access to 10 tools to Check Videco Status, Create Campaign, Create Video, and more

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

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Videco through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The Videco MCP Server for LangChain is a standout in the Marketing Automation category — giving your AI agent 10 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "videco": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Videco, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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

About Videco MCP Server

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

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.

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

The Videco MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Videco tools available for LangChain

When LangChain connects to Videco through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-campaigns, personalized-video, lead-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

check

Check videco status on Videco

Verify Videco API connectivity

create

Create campaign on Videco

Create a campaign

create

Create video on Videco

Create a personalized video

get

Get campaign on Videco

Get campaign details

get

Get lead on Videco

Get lead details

get

Get video on Videco

Get video details

get

Get video analytics on Videco

Get video analytics

list

List campaigns on Videco

List all campaigns

list

List leads on Videco

List all leads

list

List videos on Videco

List all videos

Connect Videco to LangChain via MCP

Follow these steps to wire Videco into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Videco via MCP

Why Use LangChain with the Videco MCP Server

LangChain provides unique advantages when paired with Videco through the Model Context Protocol.

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

Videco + LangChain Use Cases

Practical scenarios where LangChain combined with the Videco MCP Server delivers measurable value.

RAG with live data: combine Videco tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Videco, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Videco tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Videco tool call, measure latency, and optimize your agent's performance

Example Prompts for Videco in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Videco immediately.

"List all my personalized videos."

"Show analytics for video VID-2048."

"Create a campaign called 'Spring Launch' with video VID-2048."

Troubleshooting Videco MCP Server with LangChain

Common issues when connecting Videco to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Videco + LangChain FAQ

Common questions about integrating Videco MCP Server with LangChain.

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.