Can I reply to a review using the agent?

Yes! Use the `reply_to_review` tool with the Review ID and your message. If the source allows API replies, your message will be posted to Birdeye instantly.

How do I see the average rating for my business?

Simply ask the agent to `get_review_summary`. It will retrieve the overall counts and ratings aggregated across all supported platforms (Google, Facebook, etc.).

Can I trigger a review request for a specific customer?

Yes. Use the `checkin_customer` action with the customer's name and email. This will trigger the automated review and survey sequence configured in your Birdeye account.

Birdeye MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: Birdeye
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

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.

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.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Birdeye and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "birdeye": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Birdeye MCP Server

Connect your Birdeye account to any AI agent and orchestrate your customer experience and reputation management workflows through natural conversation.

GitHub Copilot Agent mode brings Birdeye 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

Review Management — List and retrieve detailed customer reviews and fetch review summaries by source.
Customer Interaction — Reply to reviews directly from the agent to maintain high engagement.
CX Automation — Trigger customer check-ins to automatically send review or survey requests.
Survey Insights — List available surveys and retrieve customer responses for analysis.
Contact Oversight — Manage your business contacts and retrieve detailed profile information.
Location Tracking — Access and list all business locations managed within your account.

The Birdeye 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 Birdeye to VS Code Copilot via MCP

Follow these steps to integrate the Birdeye 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 Birdeye

Ask Copilot: "Using Birdeye, help me...". 10 tools available

Why Use VS Code Copilot with the Birdeye MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Birdeye 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

Birdeye + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Birdeye 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

Birdeye MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Birdeye to VS Code Copilot via MCP:

checkin_customer

Check-in a customer to trigger review/survey requests

get_business_info

Retrieve core business information

get_contact

Get specific contact details

get_review_summary

Get a summary of review counts by source

get_survey_responses

Get responses for a specific survey

list_contacts

List customer contacts

list_locations

List all business locations

list_reviews

List customer reviews

list_surveys

List all surveys

reply_to_review

Reply to a specific customer review

Example Prompts for Birdeye in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Birdeye immediately.

"List the last 5 reviews received on Birdeye."

"Check in a customer: John Doe, john@example.com."

"Show my survey responses for survey surv_123."

Troubleshooting Birdeye MCP Server with VS Code Copilot

Common issues when connecting Birdeye to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Birdeye + VS Code Copilot FAQ

Common questions about integrating Birdeye MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .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.