Anvyl MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Anvyl through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"anvyl": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Anvyl Agent",
instructions:
"You help users interact with Anvyl " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Anvyl?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Anvyl tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Anvyl MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Anvyl via MCP
Why Use Mastra AI with the Anvyl MCP Server
Mastra AI provides unique advantages when paired with Anvyl through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Anvyl without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Anvyl tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Anvyl + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Anvyl MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Anvyl, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Anvyl as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Anvyl on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Anvyl tools alongside other MCP servers
Anvyl MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Anvyl to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Anvyl to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAnvyl + Mastra AI FAQ
Common questions about integrating Anvyl MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Anvyl with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Anvyl to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.