NinjaCat MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect NinjaCat 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({
"ninjacat": {
"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 NinjaCat, 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 NinjaCat MCP Server
Connect your NinjaCat agency account to your AI agent and streamline your marketing reporting and advertiser management through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with NinjaCat 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.
What you can do
- Advertiser Management — List all advertisers managed in your agency and retrieve detailed profiles and account information.
- Report Oversight — Access agency reports, monitor their execution history, and get direct download URLs for the latest generated files.
- Data Source Tracking — List all marketing platforms and connected data accounts (e.g., Google Ads, Facebook Ads) to monitor your ecosystem.
- Campaign Monitoring — View active marketing campaigns across the agency to stay on top of performance.
- Agency Insights — Retrieve high-level information and settings for your NinjaCat agency and current user profile.
- Deep Inspection — Fetch complete metadata for specific advertisers or reports using their unique IDs.
The NinjaCat 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 NinjaCat to LangChain via MCP
Follow these steps to integrate the NinjaCat 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 NinjaCat via MCP
Why Use LangChain with the NinjaCat MCP Server
LangChain provides unique advantages when paired with NinjaCat through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine NinjaCat 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 NinjaCat queries for multi-turn workflows
NinjaCat + LangChain Use Cases
Practical scenarios where LangChain combined with the NinjaCat MCP Server delivers measurable value.
RAG with live data: combine NinjaCat tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query NinjaCat, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain NinjaCat tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every NinjaCat tool call, measure latency, and optimize your agent's performance
NinjaCat MCP Tools for LangChain (10)
These 10 tools become available when you connect NinjaCat to LangChain via MCP:
get_advertiser
Get specific advertiser details
get_agency_info
Get agency metadata
get_me
Get current user details
get_report_download_url
Get report download URL
get_report_history
Get report execution history
list_advertisers
List all advertisers
list_agency_campaigns
List agency marketing campaigns
list_data_accounts
g. specific Google Ads accounts). List connected data accounts
list_data_sources
List active data sources
list_reports
List all agency reports
Example Prompts for NinjaCat in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with NinjaCat immediately.
"List all active advertisers in my NinjaCat agency."
"Show me the execution history for the 'Monthly Performance' report."
"Which marketing data sources are currently connected?"
Troubleshooting NinjaCat MCP Server with LangChain
Common issues when connecting NinjaCat to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersNinjaCat + LangChain FAQ
Common questions about integrating NinjaCat 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 NinjaCat 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 NinjaCat to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.