Where do I find my Anvyl Team ID?

You can find your Team ID in the URL when you are logged into the Anvyl dashboard (e.g., `app.anvyl.com/teams/{TEAM_ID}/...`) or in your workspace settings.

Can I update the status of a production milestone via AI?

Yes, you can use the `confirm_milestone` tool to mark a milestone as complete or `delay_milestone` if production is behind schedule, providing a reason and a new expected date.

How do I track the shipping status of my orders?

Use the `list_logistics` tool with your Purchase Order ID. It will return all tracking records and shipping updates associated with that specific order.

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

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

asyncio.run(main())

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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 Anvyl MCP Server

The Anvyl MCP Server brings visibility and automation to your supply chain operations. By connecting your Anvyl account to your AI agent, you can seamlessly track production progress, manage parts and suppliers, and update critical milestones using natural language.

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

Order Visibility — List all purchase orders and drill down into specific order details to check status and quantities.
Milestone Management — Track production and shipping milestones. Confirm completions or record delays directly from your chat.
Supplier Coordination — Quickly retrieve supplier information and part specifications stored in Anvyl.
Logistics Tracking — Access tracking records and logistics data for any purchase order to keep your team informed on delivery timelines.

The Anvyl 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 Anvyl to LangChain via MCP

Follow these steps to integrate the Anvyl 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 Anvyl via MCP

Why Use LangChain with the Anvyl MCP Server

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

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

Anvyl + LangChain Use Cases

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

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

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

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

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

Anvyl MCP Tools for LangChain (10)

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

confirm_milestone

Confirm a milestone for a purchase order

delay_milestone

Delay a milestone for a purchase order

get_part

Get details for a specific part

get_purchase_order

Get details for a specific purchase order

get_supplier

Get details for a specific supplier

list_logistics

List tracking records for a purchase order

list_milestones

List milestones for a purchase order

list_parts

List parts in the Anvyl account

list_purchase_orders

List Anvyl purchase orders for the team

list_suppliers

List suppliers in the Anvyl account

Example Prompts for Anvyl in LangChain

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

"List all active purchase orders."

"Check the milestones for order PO-123."

"Delay milestone 'm_456' for order PO-789 by 1 week because of raw material shortage."

Troubleshooting Anvyl MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Anvyl + LangChain FAQ

Common questions about integrating Anvyl 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.