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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Anvyl
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Anvyl as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Anvyl. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Anvyl?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine Anvyl tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Anvyl MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Anvyl

Why Use LlamaIndex with the Anvyl MCP Server

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

Data-first architecture: LlamaIndex agents combine Anvyl tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Anvyl tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Anvyl, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Anvyl tools were called, what data was returned, and how it influenced the final answer

Anvyl + LlamaIndex Use Cases

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

Hybrid search: combine Anvyl real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Anvyl to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Anvyl for fresh data

Analytical workflows: chain Anvyl queries with LlamaIndex's data connectors to build multi-source analytical reports

Anvyl MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Anvyl to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Anvyl + LlamaIndex FAQ

Common questions about integrating Anvyl MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.