Can I update stock for multiple products at once?

Yes! Use the `update_product_stock` tool. You can provide an array of SKU IDs and their new stock levels, and the agent will sync them across Channable.

How do I see orders from a specific marketplace like Amazon?

Use the `list_marketplace_orders` tool with your project ID. The agent will return all recent orders, and you can see the originating channel (e.g., Amazon, eBay) for each.

Where do I find my Channable API Token?

Log in to Channable, go to 'Company Settings' in the sidebar, and then select 'Channable API'. You can generate and copy your token from there.

Channable MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Channable
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools Framework

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

Connect your Channable account to any AI agent and orchestrate your marketplace order management and stock synchronization through natural conversation. Streamline how you sell across Amazon, eBay, bol.com, and more.

LangChain's ecosystem of 500+ components combines seamlessly with Channable through native MCP adapters. Connect 8 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

Order Fulfillment — List and retrieve details for orders from all connected marketplaces natively
Stock Synchronization — Update product stock levels across all channels to prevent overselling flawlessly
Shipment Tracking — Update order statuses and send tracking information back to marketplaces securely
Returns Oversight — List and manage customer returns directly from your chat interface flawlessly
Project Visibility — Access and monitor multiple projects and connected channels in real-time
Commerce Intelligence — Retrieve detailed order metadata and project summaries directly within your workspace

The Channable MCP Server exposes 8 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 Channable to LangChain via MCP

Follow these steps to integrate the Channable 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 8 tools from Channable via MCP

Why Use LangChain with the Channable MCP Server

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

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

Channable + LangChain Use Cases

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

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

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

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

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

Channable MCP Tools for LangChain (8)

These 8 tools become available when you connect Channable to LangChain via MCP:

get_order_details

Get detailed information for a specific order

get_project_summary

Get summary details for a specific project

list_channable_projects

List all projects for the company

list_connected_channels

List connected marketplace channels for a project

list_customer_returns

List customer returns for a specific project

list_marketplace_orders

List orders from connected marketplaces for a project

list_order_shipments

List shipments and tracking info for a project

update_product_stock

Update stock levels for products in a project

Example Prompts for Channable in LangChain

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

"Show me the last 10 orders from all marketplaces."

"Update stock for SKU 'TSHIRT-L-RED' to 25 units in project 123."

"List all active channels for project 456."

Troubleshooting Channable MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Channable + LangChain FAQ

Common questions about integrating Channable 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.