Can my agent list all content generated for a specific campaign in GRIN?

Yes. Use the 'list_content' tool with filters for the specific campaign. Your agent will retrieve the posts, stories, and media links associated with that activation flawlessly.

How do I track the ROI of an influencer via chat?

You can use the 'list_conversions' tool. Your agent will retrieve sales and attributed conversion data for specific creators, providing a clear overview of their performance natively.

Can I check the status of product seeding orders through the agent?

Absolutely. Use the 'list_orders' tool. Your agent will fetch the fulfillment statuses for all products sent to creators, ensuring your seeding logistics are on track flawlessly.

GRIN MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: GRIN
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect GRIN 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({
        "grin": {
            "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 GRIN, 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 GRIN MCP Server

Connect your GRIN Creator Management account to any AI agent and take full control of your influencer marketing workflows through natural conversation.

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

CRM Orchestration — List and retrieve detailed creator profiles, social handles, and custom properties natively
Campaign Management — Monitor active influencer campaigns and track specific creator activations flawlessly
Content Oversight — Access and review the library of posts, stories, and media generated by your creators synchronously
Performance Tracking — Retrieve conversion data and ROI metrics attributed to specific influencers flawlessly
Logistics & Seeding — Manage product seeding orders and fulfillment statuses sent to creators natively
Partnership Navigation — List and verify formal brand-creator relationships and manage payouts synchronously

The GRIN 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 GRIN to LangChain via MCP

Follow these steps to integrate the GRIN 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 GRIN via MCP

Why Use LangChain with the GRIN MCP Server

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

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

GRIN + LangChain Use Cases

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

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

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

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

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

GRIN MCP Tools for LangChain (12)

These 12 tools become available when you connect GRIN to LangChain via MCP:

get_campaign

Get details for a specific campaign

get_contact

Get details for a specific creator

get_me

Get details for the current GRIN account

list_activations

Track creator participations within a campaign

list_campaigns

List active and past influencer campaigns

list_contacts

List all creators/influencers in the CRM

list_content

Access the library of posts and stories generated by creators

list_conversions

Track sales and ROI attributed to influencers

list_orders

Manage product seeding and fulfillment orders

list_partnerships

Manage formal brand-creator relationships

list_payments

List and manage creator payouts

update_contact

Update properties for a specific creator

Example Prompts for GRIN in LangChain

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

"List my influencer campaigns in GRIN"

"Show the conversion data for @janesmith"

"Check the status of seeding order #GF-88392"

Troubleshooting GRIN MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

GRIN + LangChain FAQ

Common questions about integrating GRIN 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.