FirstPromoter MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect FirstPromoter through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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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({
"firstpromoter": {
"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 FirstPromoter, 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 FirstPromoter MCP Server
Connect your FirstPromoter account to any AI agent and automate your affiliate and referral marketing operations through the Model Context Protocol (MCP). FirstPromoter is the all-in-one platform for SaaS companies to launch and manage affiliate, referral, and influencer programs. Now, you can manage your promoters and track conversions directly through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with FirstPromoter through native MCP adapters. Connect 12 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
- Promoter Management — List all affiliates, fetch detailed performance metrics, and create new promoter profiles instantly.
- Referral Tracking — Monitor incoming leads and conversions to see which promoters are driving the most value.
- Reward Processing — List all rewards and commissions, and manually create new rewards for specific promoters.
- Campaign Insights — Access all your affiliate campaigns and fetch aggregate performance reports to optimize your strategy.
- Performance Reporting — Retrieve detailed reports for promoters and campaigns, including revenue and conversion data.
- Payout Statistics — Get a high-level overview of your payout statuses, including total paid and pending amounts.
- Real-time Monitoring — Fetch specific lead or conversion details to keep your marketing and finance teams aligned.
The FirstPromoter MCP Server exposes 12 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 FirstPromoter to LangChain via MCP
Follow these steps to integrate the FirstPromoter 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 12 tools from FirstPromoter via MCP
Why Use LangChain with the FirstPromoter MCP Server
LangChain provides unique advantages when paired with FirstPromoter through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine FirstPromoter 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 FirstPromoter queries for multi-turn workflows
FirstPromoter + LangChain Use Cases
Practical scenarios where LangChain combined with the FirstPromoter MCP Server delivers measurable value.
RAG with live data: combine FirstPromoter tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query FirstPromoter, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain FirstPromoter tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every FirstPromoter tool call, measure latency, and optimize your agent's performance
FirstPromoter MCP Tools for LangChain (12)
These 12 tools become available when you connect FirstPromoter to LangChain via MCP:
create_promoter
Create a new promoter
create_reward
Create a new reward
get_campaign_report
Get campaign performance report
get_lead
Get lead details
get_payout_stats
Get payout statistics
get_promoter
Get promoter details
get_promoter_report
Get promoter performance report
list_campaigns
List affiliate campaigns
list_conversions
List all conversions
list_leads
List all leads
list_promoters
List all promoters
list_rewards
List rewards
Example Prompts for FirstPromoter in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with FirstPromoter immediately.
"List my top 10 promoters by revenue."
"Show me the payout stats for this month."
"Create a new reward of $50.00 for promoter ID 'prom_456'."
Troubleshooting FirstPromoter MCP Server with LangChain
Common issues when connecting FirstPromoter to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFirstPromoter + LangChain FAQ
Common questions about integrating FirstPromoter 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 FirstPromoter 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 FirstPromoter to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
