Howuku MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Howuku 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"howuku": {
"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 Howuku, 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 Howuku MCP Server
Empower your AI agents to analyze user behavior on your websites. This MCP server connects to Howuku (now part of VWO) to list projects, retrieve session recordings, view heatmaps, and monitor user feedback and surveys. Perfect for UX researchers and product managers.
LangChain's ecosystem of 500+ components combines seamlessly with Howuku 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 Howuku MCP Server exposes 10 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.
How to Connect Howuku to LangChain via MCP
Follow these steps to integrate the Howuku MCP Server with LangChain.
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 Howuku via MCP
Why Use LangChain with the Howuku MCP Server
LangChain provides unique advantages when paired with Howuku through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Howuku 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 Howuku queries for multi-turn workflows
Howuku + LangChain Use Cases
Practical scenarios where LangChain combined with the Howuku MCP Server delivers measurable value.
RAG with live data: combine Howuku tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Howuku, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Howuku tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Howuku tool call, measure latency, and optimize your agent's performance
Howuku MCP Tools for LangChain (10)
These 10 tools become available when you connect Howuku to LangChain via MCP:
get_me
Gets current authenticated user info
get_project
Retrieves details for a specific project
list_events
Lists custom tracking events for a project
list_feedback
Lists visual feedback items for a project
list_funnels
Lists conversion funnels for a project
list_heatmaps
Lists heatmaps for a project
list_organizations
Lists organizations associated with your account
list_projects
Lists Howuku projects (sites)
list_recordings
Lists session recordings for a project
list_surveys
Lists surveys for a project
Example Prompts for Howuku in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Howuku immediately.
"List all my Howuku projects."
"Show me recent session recordings for project ID 123."
"Check for any new user feedback on my site."
Troubleshooting Howuku MCP Server with LangChain
Common issues when connecting Howuku to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHowuku + LangChain FAQ
Common questions about integrating Howuku 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.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Howuku with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Howuku to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.