LeadsRx MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect LeadsRx 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({
"leadsrx": {
"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 LeadsRx, 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 LeadsRx MCP Server
Connect your LeadsRx account to your AI agent and gain deep insights into your marketing performance and customer journeys through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with LeadsRx 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
- Campaign Analysis — Retrieve attribution results for specific marketing campaigns to understand ROI and performance.
- Conversion Tracking — List all defined conversions and programmatically add new conversion events.
- Touchpoint & Channel Insights — Access and list your marketing touchpoints and top-level channels to see where your customers are coming from.
- Ecosystem Oversight — List associated marketing agencies and advertisers managed under your profile.
- Deep Inspection — Fetch detailed metadata and performance metrics for specific touchpoints or conversions.
The LeadsRx 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 LeadsRx to LangChain via MCP
Follow these steps to integrate the LeadsRx 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 LeadsRx via MCP
Why Use LangChain with the LeadsRx MCP Server
LangChain provides unique advantages when paired with LeadsRx through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine LeadsRx 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 LeadsRx queries for multi-turn workflows
LeadsRx + LangChain Use Cases
Practical scenarios where LangChain combined with the LeadsRx MCP Server delivers measurable value.
RAG with live data: combine LeadsRx tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query LeadsRx, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain LeadsRx tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every LeadsRx tool call, measure latency, and optimize your agent's performance
LeadsRx MCP Tools for LangChain (10)
These 10 tools become available when you connect LeadsRx to LangChain via MCP:
add_conversion
Add a new conversion event
get_campaign_results
Get attribution results for a campaign
get_conversion_details
Get specific conversion info
get_touchpoint_details
Get specific touchpoint details
list_advertisers
List connected advertisers
list_agencies
List associated marketing agencies
list_campaigns
List marketing campaigns
list_channels
g., Social, Search, Email) defined in your account. List marketing channels
list_conversions
List all LeadsRx conversions
list_touchpoints
List marketing touchpoints
Example Prompts for LeadsRx in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with LeadsRx immediately.
"Get the attribution results for campaign 'Q1-SOCIAL-AD'."
"List all our active marketing campaigns."
"Show me our marketing channels and touchpoints."
Troubleshooting LeadsRx MCP Server with LangChain
Common issues when connecting LeadsRx to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersLeadsRx + LangChain FAQ
Common questions about integrating LeadsRx 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 LeadsRx 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 LeadsRx to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.