Eden AI 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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The modern way to manage MCP Servers — no config files, no terminal commands. Install Eden AI and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"eden-ai": {
"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 Eden AI MCP Server
Integrate Eden AI, the unified AI API platform, directly into your AI workflow. Manage your automation workflows and pipelines, track available AI providers (OpenAI, Google, AWS, etc.) across various features, monitor real-time API usage and costs, and oversee your LLM models using natural language.
GitHub Copilot Agent mode brings Eden AI 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
- Workflow Oversight — List and retrieve detailed information and status for all your configured AI automation workflows.
- Provider Intelligence — Access the provider registry to monitor available AI capabilities, pricing, and service levels for specific features.
- Usage Monitoring — Track real-time API consumption statistics, credit balance, and organizational spending across all providers.
- Model Management — List all specific large language models (LLMs) and AI features supported by the Eden AI platform.
The Eden AI 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 Eden AI to VS Code Copilot via MCP
Follow these steps to integrate the Eden AI 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 Eden AI
Ask Copilot: "Using Eden AI, help me...". 10 tools available
Why Use VS Code Copilot with the Eden AI MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Eden AI 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
Eden AI + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Eden AI 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
Eden AI MCP Tools for VS Code Copilot (10)
These 10 tools become available when you connect Eden AI to VS Code Copilot via MCP:
get_ai_feature_pricing
Identify the pricing for a specific AI feature across different providers
get_api_usage_statistics
Retrieve technical statistics on your API usage and costs
get_eden_ai_metadata
Retrieve metadata and credit balance for your Eden AI account
get_workflow_configuration
Get detailed settings and steps for a specific AI workflow
list_ai_providers
List all AI providers (OpenAI, Google, AWS, etc.) available for a specific feature
list_ai_workflows
List all AI automation workflows configured in your Eden AI account
list_all_llm_models
List all specific large language models available through the unified API
list_available_ai_features
List all AI features and subfeatures supported by the Eden AI platform
list_latest_ai_automations
Identify the most recently updated AI workflows
quick_ai_provider_audit
Retrieve a high-level summary of available providers for text analysis
Example Prompts for Eden AI in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Eden AI immediately.
"List all active AI workflows."
"Show me the pricing for 'sentiment_analysis' across providers."
"What is my current Eden AI credit balance?"
Troubleshooting Eden AI MCP Server with VS Code Copilot
Common issues when connecting Eden AI to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Eden AI + VS Code Copilot FAQ
Common questions about integrating Eden AI 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 Eden AI 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 Eden AI to VS Code Copilot
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.