How do I find my SmartChatAI API Key?

Log in to your SmartChatAI dashboard and you will find your unique secret API Key in the Settings or account management section.

INSTANT PLUG AND PLAY

SmartChatAI MCP Server for VS Code CopilotGive VS Code Copilot instant access to 12 tools to Add Pdf To Knowledge Base, Add Text To Knowledge Base, Add Website To Knowledge Base, and more

Name: SmartChatAI
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 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.

Use with Your AI Agent

Ask AI about this App Connector for VS Code Copilot

Open in ChatGPT Open in Claude Open in Perplexity

The SmartChatAI app connector for VS Code Copilot is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install SmartChatAI and 3,400+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "smartchatai": {
      "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 SmartChatAI MCP Server

Connect your SmartChatAI account to any AI agent to automate your intelligent chatbot orchestration and lead collection. SmartChatAI provides a premier platform for building custom AI bots, and this integration allows you to retrieve chatbot metadata, manage knowledge bases via URL or PDF, and track conversational history through natural conversation.

GitHub Copilot Agent mode brings SmartChatAI data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Chatbot Orchestration — List all managed AI bots and retrieve detailed profile metadata, including status and configuration programmatically.
Knowledge Base Lifecycle Management — Add new data sources (URL, PDF, Text) to your bots' knowledge base directly from the AI interface to ensure they are always informed.
Message & Reply Control — Send automated replies and retrieve detailed chat history to maintain high-quality customer interactions via natural language.
Web Scraper Automation — Trigger website scraping to ingest content into your AI models and ensure your bots have the latest information.
Operational Monitoring — Track system health, manage webhooks, and monitor bot activity to ensure your conversational platform is always optimized.

The SmartChatAI MCP Server exposes 12 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.

All 12 SmartChatAI tools available for VS Code Copilot

When VS Code Copilot connects to SmartChatAI through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-orchestration, knowledge-base, lead-collection, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_pdf_to_knowledge_base

Train bot using a PDF

add_text_to_knowledge_base

Train bot using raw text

add_website_to_knowledge_base

Train bot using a URL

check_api_health

Verify SmartChatAI API status

create_new_ai_bot

Requires a name and optional initial prompt. Provision a new AI agent

get_authenticated_user_profile

Get account profile

get_bot_chat_history

Retrieve conversation transcripts

get_chatbot_details

Get configuration for a specific bot

list_ai_chatbots

List all AI chatbots

list_configured_webhooks

List active webhooks

message_ai_chatbot

Send a message and get AI reply

scrape_domain_links

Discover and index domain links

Connect SmartChatAI to VS Code Copilot via MCP

Follow these steps to wire SmartChatAI into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 SmartChatAI

Ask Copilot: "Using SmartChatAI, help me...". 12 tools available

Why Use VS Code Copilot with the SmartChatAI MCP Server

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

SmartChatAI + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the SmartChatAI 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

Example Prompts for SmartChatAI in VS Code Copilot

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

"List all active AI bots in my SmartChatAI account."

"Show me all active chatbot conversations with their resolution rates and average response times."

"Train the chatbot with 10 new FAQ entries about our refund and return policies."

Troubleshooting SmartChatAI MCP Server with VS Code Copilot

Common issues when connecting SmartChatAI 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.

SmartChatAI + VS Code Copilot FAQ

Common questions about integrating SmartChatAI 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.