Anvyl MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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{
"mcpServers": {
"anvyl": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
GitHub Copilot Agent mode brings Anvyl data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
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 VS Code Copilot 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 VS Code Copilot via MCP
Follow these steps to integrate the Anvyl MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using Anvyl
Ask Copilot: "Using Anvyl, help me...". 10 tools available
Why Use VS Code Copilot with the Anvyl MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Anvyl through the Model Context Protocol.
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Anvyl + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Anvyl MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
Anvyl MCP Tools for VS Code Copilot (10)
These 10 tools become available when you connect Anvyl to VS Code Copilot 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 VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot
Common issues when connecting Anvyl to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Anvyl + VS Code Copilot FAQ
Common questions about integrating Anvyl MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.Connect Anvyl with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 VS Code Copilot
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
