HypeAuditor MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect HypeAuditor 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({
"hypeauditor": {
"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 HypeAuditor, 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 HypeAuditor MCP Server
Empower your AI agents with HypeAuditor's industry-leading influencer analytics. This MCP server allows you to search for influencers across Instagram, YouTube, and TikTok, retrieve detailed audit reports, and manage your account insights directly through the HypeAuditor API. Ideal for data-driven influencer marketing and brand protection.
LangChain's ecosystem of 500+ components combines seamlessly with HypeAuditor 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 HypeAuditor 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 HypeAuditor to LangChain via MCP
Follow these steps to integrate the HypeAuditor 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 HypeAuditor via MCP
Why Use LangChain with the HypeAuditor MCP Server
LangChain provides unique advantages when paired with HypeAuditor through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine HypeAuditor 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 HypeAuditor queries for multi-turn workflows
HypeAuditor + LangChain Use Cases
Practical scenarios where LangChain combined with the HypeAuditor MCP Server delivers measurable value.
RAG with live data: combine HypeAuditor tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query HypeAuditor, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain HypeAuditor tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every HypeAuditor tool call, measure latency, and optimize your agent's performance
HypeAuditor MCP Tools for LangChain (10)
These 10 tools become available when you connect HypeAuditor to LangChain via MCP:
get_account_info
Gets your HypeAuditor account details
get_influencer_report
Retrieves a detailed report for an influencer
get_rate_limit
Gets current API rate limit status
list_categories
Lists influencer categories
list_countries
Lists available countries
list_influencer_types
Lists available influencer types
list_languages
Lists available languages
list_platforms
Lists supported social media platforms
list_reports
Lists reports generated in your account
search_influencers
Searches for influencers with filters
Example Prompts for HypeAuditor in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with HypeAuditor immediately.
"Search for fashion influencers in France on Instagram."
"Get an audit report for influencer ID 'xyz-123'."
"Check my current API rate limit and credits."
Troubleshooting HypeAuditor MCP Server with LangChain
Common issues when connecting HypeAuditor to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHypeAuditor + LangChain FAQ
Common questions about integrating HypeAuditor 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 HypeAuditor 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 HypeAuditor to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.