Influencers Club MCP Server for LangChainGive LangChain instant access to 8 tools to Enrich By Email, Enrich By Handle, Get Audience Overlap, and more
LangChain is the leading Python framework for composable LLM applications. Connect Influencers Club 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 Influencers Club app connector for LangChain is a standout in the Marketing Automation category — giving your AI agent 8 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({
"influencers-club": {
"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 Influencers Club, 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 Influencers Club MCP Server
Connect your Influencers Club account to any AI agent and discover creators through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Influencers Club through native MCP adapters. Connect 8 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
- Creator Search — Search influencers by niche, follower count, engagement rate, and platform
- Profile Enrichment — Enrich creator profiles by social handle or email address with full analytics
- Similar Creators — Find influencers similar to any given creator for campaign expansion
- Audience Overlap — Analyze audience overlap between two creators for partnership decisions
- Content Analysis — Browse recent posts from any creator with engagement metrics
- Engagement Tracking — View engagement rates, follower growth, and content performance
The Influencers Club MCP Server exposes 8 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 8 Influencers Club tools available for LangChain
When LangChain connects to Influencers Club through Vinkius, your AI agent gets direct access to every tool listed below — spanning influencer-marketing, creator-discovery, audience-analytics, 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.
Convert an email address into a full social profile
Get full profile data using a social media handle
Analyze shared audiences between different creators
Access recent posts and historical content data
Find lookalike profiles based on a specific creator
Monitor API consumption and usage limits
Check account status and remaining credits
Search for creators using filters
Connect Influencers Club to LangChain via MCP
Follow these steps to wire Influencers Club 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 Influencers Club MCP Server
LangChain provides unique advantages when paired with Influencers Club through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Influencers Club 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 Influencers Club queries for multi-turn workflows
Influencers Club + LangChain Use Cases
Practical scenarios where LangChain combined with the Influencers Club MCP Server delivers measurable value.
RAG with live data: combine Influencers Club tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Influencers Club, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Influencers Club tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Influencers Club tool call, measure latency, and optimize your agent's performance
Example Prompts for Influencers Club in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Influencers Club immediately.
"Find tech influencers with 50K-500K followers and high engagement rates."
"Enrich @techsarah's profile and find similar creators."
"Analyze audience overlap between @techsarah and @airesearcher, and show their recent posts."
Troubleshooting Influencers Club MCP Server with LangChain
Common issues when connecting Influencers Club to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersInfluencers Club + LangChain FAQ
Common questions about integrating Influencers Club 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.