How do I find my PartnerStack API Key?

In your PartnerStack dashboard, go to **Settings** > **Integrations** and look for the API Key section. You may need to generate a new key if one doesn't exist.

Can I see leads submitted by a specific partner?

Yes! Use the `list_partner_leads` tool. You can ask the AI agent to filter the results for a particular partner name or ID from the retrieved list.

Does this support reward tracking?

Absolutely. Use the `list_partner_rewards` tool to see a log of all generated rewards and their current status across your partner ecosystem.

PartnerStack MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: PartnerStack
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect PartnerStack through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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({
        "partnerstack": {
            "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 PartnerStack, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 PartnerStack MCP Server

Connect your PartnerStack account to any AI agent and take full control of your partnership and ecosystem workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with PartnerStack 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

Partner Oversight — List all partners and retrieve detailed metadata to manage your ecosystem relationships.
Lead Tracking — List and retrieve details for leads submitted by your partners to monitor the sales pipeline.
Customer Management — List customers associated with specific partners to understand attribution.
Reward Monitoring — List generated rewards and payouts to ensure your partners are incentivized correctly.
Campaign & Group Analysis — List partner groups and campaigns to maintain a clear view of your program structure.

The PartnerStack 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 PartnerStack to LangChain via MCP

Follow these steps to integrate the PartnerStack 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 PartnerStack via MCP

Why Use LangChain with the PartnerStack MCP Server

LangChain provides unique advantages when paired with PartnerStack through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine PartnerStack 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 PartnerStack queries for multi-turn workflows

PartnerStack + LangChain Use Cases

Practical scenarios where LangChain combined with the PartnerStack MCP Server delivers measurable value.

RAG with live data: combine PartnerStack tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query PartnerStack, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain PartnerStack tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every PartnerStack tool call, measure latency, and optimize your agent's performance

PartnerStack MCP Tools for LangChain (10)

These 10 tools become available when you connect PartnerStack to LangChain via MCP:

get_partner

Get details for a specific partner

get_partner_customer

Get details for a specific customer

list_partner_campaigns

List all partner campaigns

list_partner_customers

List all customers associated with partners

list_partner_groups

List all partner groups

list_partner_leads

List all leads submitted by partners

list_partner_rewards

List all generated rewards

list_partner_transactions

List all partner transactions

list_partner_webhooks

List all configured webhooks

list_partners

List all partners

Example Prompts for PartnerStack in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with PartnerStack immediately.

"List all active partners in my account."

"Show me the last 5 leads submitted by our partners."

"What is the status of the rewards for the 'Summer Campaign'?"

Troubleshooting PartnerStack MCP Server with LangChain

Common issues when connecting PartnerStack to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

PartnerStack + LangChain FAQ

Common questions about integrating PartnerStack MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.