Audienceful 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": {
"audienceful": {
"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 Audienceful MCP Server
Connect your Audienceful account to any AI agent and transform how you manage your email marketing and audience data through natural conversation.
GitHub Copilot Agent mode brings Audienceful 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
- People Management — Create, search, and update subscriber profiles and manage their subscription status across your workspace
- Custom Data Fields — Define and manage custom data points to segment your audience with surgical precision
- Automation Triggers — Programmatically trigger email sequences and marketing automations for specific users or events
- Performance Auditing — Query and analyze campaign performance and audience growth metrics without manual exports
The Audienceful 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 Audienceful to VS Code Copilot via MCP
Follow these steps to integrate the Audienceful 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 Audienceful
Ask Copilot: "Using Audienceful, help me...". 10 tools available
Why Use VS Code Copilot with the Audienceful MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Audienceful 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
Audienceful + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Audienceful 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
Audienceful MCP Tools for VS Code Copilot (10)
These 10 tools become available when you connect Audienceful to VS Code Copilot via MCP:
create_custom_field
Create a new custom field for your audience members
create_person
You must provide at least an email address. Add a new person to your audience
delete_custom_field
Delete a custom field
delete_person
Use with caution. Permanently remove a person from your audience
get_person
Get details for a specific person by their UID
list_custom_fields
List all custom fields defined in your audience
list_people
You can filter by status or search for a specific email address. List all people in your Audienceful audience
list_send_reports
List recent email send reports
trigger_automation
Manually trigger an automation for a person
update_person
Update an existing person profile
Example Prompts for Audienceful in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Audienceful immediately.
"Search for subscribers who have the 'Company' field set to 'TechCorp'."
"Trigger the 'onboarding-welcome' sequence for [email protected]"
"List all custom fields currently defined in my Audienceful workspace."
Troubleshooting Audienceful MCP Server with VS Code Copilot
Common issues when connecting Audienceful to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Audienceful + VS Code Copilot FAQ
Common questions about integrating Audienceful 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 Audienceful 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 Audienceful to VS Code Copilot
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
