Modash MCP Server for LangChain 11 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Modash 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({
"modash": {
"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 Modash, 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 Modash MCP Server
Connect Modash to your AI agent to discover the perfect creators for your brand. Access a database of 350M+ influencers and get deep audience analytics through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Modash through native MCP adapters. Connect 11 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
- Influencer Search — Find creators based on followers, engagement rate, and location across major platforms.
- Audience Analytics — Get detailed reports on audience demographics, location, and authenticity.
- Platform Coverage — Seamlessly switch between Instagram, TikTok, and YouTube research.
- Dictionary Access — Easily find IDs for locations, interests, and brands to refine your searches.
- Real-time Data — Fetch the latest metrics and posts directly from influencer profiles.
The Modash MCP Server exposes 11 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 Modash to LangChain via MCP
Follow these steps to integrate the Modash 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 11 tools from Modash via MCP
Why Use LangChain with the Modash MCP Server
LangChain provides unique advantages when paired with Modash through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Modash 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 Modash queries for multi-turn workflows
Modash + LangChain Use Cases
Practical scenarios where LangChain combined with the Modash MCP Server delivers measurable value.
RAG with live data: combine Modash tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Modash, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Modash tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Modash tool call, measure latency, and optimize your agent's performance
Modash MCP Tools for LangChain (11)
These 11 tools become available when you connect Modash to LangChain via MCP:
get_instagram_report
Get deep analytics for an Instagram profile
get_raw_profile
Get real-time, unfiltered profile data
get_tiktok_report
Get analytics for a TikTok profile
get_youtube_report
Get analytics for a YouTube channel
list_brands
Search for brand IDs
list_interests
Search for interest IDs
list_languages
Search for language IDs
list_locations
Search for location IDs
search_instagram
Search for Instagram influencers
search_tiktok
Search for TikTok influencers
search_youtube
Search for YouTube channels
Example Prompts for Modash in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Modash immediately.
"Search for Instagram influencers with 50k-100k followers in London."
"Get an audience report for the TikTok user @traveler_vlog."
"List all interest categories available for YouTube search."
Troubleshooting Modash MCP Server with LangChain
Common issues when connecting Modash to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersModash + LangChain FAQ
Common questions about integrating Modash 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 Modash 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 Modash to LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.