Tubular MCP Server for LangChainGive LangChain instant access to 12 tools to Check Api Health, Get Api Rate Limits, Get Audience Overlap, and more
LangChain is the leading Python framework for composable LLM applications. Connect Tubular through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The Tubular app connector for LangChain is a standout in the Data Analytics category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"tubular": {
"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 Tubular, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Tubular MCP Server
Connect your Tubular Labs video intelligence account to any AI agent and simplify how you analyze digital video trends, creator performance, and cross-platform audience metrics through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Tubular through native MCP adapters. Connect 12 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 Insights — Retrieve detailed performance metrics and trending data for individual videos or categories across social platforms.
- Creator Intelligence — Search for creators and fetch high-level performance summaries, trends, and audience ratings.
- Audience Demographics — Analyze audience breakdowns (age, gender, location) for specific videos or creators to refine your targeting.
- Sponsorship Tracking — List brand sponsors and monitor sponsored video campaigns to understand the competitive landscape.
- Audience Overlap — Analyze shared audience between two creators or content properties to identify partnership opportunities.
- Operational Monitoring — Check API health and rate limits to ensure your intelligence engine is always running.
The Tubular MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Tubular tools available for LangChain
When LangChain connects to Tubular through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-intelligence, audience-insights, competitive-benchmarking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Check API health status
Get current API rate limits
Analyze shared audience between entities
Get reach and engagement ratings
Get summary for a specific creator
Get trends for a specific creator
) for a specific video. Get audience demographics for a video
Get insights for a specific video
List trending videos
List sponsored video campaigns
List sponsors and brand partners
g., name or keywords). Search for creators
Connect Tubular to LangChain via MCP
Follow these steps to wire Tubular into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Tubular MCP Server
LangChain provides unique advantages when paired with Tubular through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Tubular 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 Tubular queries for multi-turn workflows
Tubular + LangChain Use Cases
Practical scenarios where LangChain combined with the Tubular MCP Server delivers measurable value.
RAG with live data: combine Tubular tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Tubular, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Tubular tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Tubular tool call, measure latency, and optimize your agent's performance
Example Prompts for Tubular in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Tubular immediately.
"Search for top gaming creators in my region."
"Show me the audience overlap between creator 'A-101' and 'B-552'."
"List all active sponsored video campaigns from 'TechBrand Inc'."
Troubleshooting Tubular MCP Server with LangChain
Common issues when connecting Tubular to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTubular + LangChain FAQ
Common questions about integrating Tubular MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.