Endorsal Testimonials 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": {
"endorsal-testimonials": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
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About Endorsal Testimonials MCP Server
Integrate Endorsal, the fully automated testimonial collection platform, directly into your AI workflow. Manage your collected testimonials and customer ratings, track display widgets and website properties, monitor pending reviews and approval statuses, and oversee your social proof using natural language.
GitHub Copilot Agent mode brings Endorsal Testimonials 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
- Testimonial Oversight — List and retrieve detailed content, customer ratings, and photos for all your collected testimonials.
- Widget Intelligence — Monitor display widgets and properties, resolving widget types and deployment identifiers across your brands.
- Approval Management — Access and approve pending testimonials, ensuring high-quality social proof is published instantly.
- Social Proof Auditing — Retrieve high-level summaries of review volumes, widget activity, and organizational social proof health instantly.
The Endorsal Testimonials 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 Endorsal Testimonials to VS Code Copilot via MCP
Follow these steps to integrate the Endorsal Testimonials 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 Endorsal Testimonials
Ask Copilot: "Using Endorsal Testimonials, help me..." — 10 tools available
Why Use VS Code Copilot with the Endorsal Testimonials MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Endorsal Testimonials 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
Endorsal Testimonials + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Endorsal Testimonials 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
Endorsal Testimonials MCP Tools for VS Code Copilot (10)
These 10 tools become available when you connect Endorsal Testimonials to VS Code Copilot via MCP:
approve_pending_testimonial
Approve a pending testimonial for public display
get_endorsal_account_metadata
Retrieve metadata and limits for your Endorsal account
get_testimonial_details
Get full content and metadata for a specific testimonial
list_account_properties
List all properties (websites/brands) managed in your account
list_all_testimonials
List all testimonials collected in your Endorsal account
list_display_widgets
g. wall of love, badge), and unique identifiers. List all display widgets configured in your account
list_latest_testimonials
Identify the most recently collected testimonials
list_pending_testimonials
Identify testimonials that are currently awaiting approval
quick_social_proof_audit
Retrieve a high-level summary of testimonials and widget activity
search_testimonials_by_keyword
Search for testimonials using a customer name or testimonial keyword
Example Prompts for Endorsal Testimonials in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Endorsal Testimonials immediately.
"List all my collected testimonials."
"Show me the display widgets configured."
"Approve testimonial ID 'TEST-12345'."
Troubleshooting Endorsal Testimonials MCP Server with VS Code Copilot
Common issues when connecting Endorsal Testimonials to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Endorsal Testimonials + VS Code Copilot FAQ
Common questions about integrating Endorsal Testimonials 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 Endorsal Testimonials with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Endorsal Testimonials to VS Code Copilot
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
