LibreChat MCP Server for VS Code CopilotGive VS Code Copilot instant access to 4 tools to Chat Completions, List Models, Login, and more
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.
Ask AI about this MCP Server for VS Code Copilot
The LibreChat MCP Server for VS Code Copilot is a standout in the Productivity category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
{
"mcpServers": {
"librechat": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install LibreChat and 4,000+ MCP Servers from a single visual interface.





* 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 LibreChat MCP Server
Connect your LibreChat instance to any AI agent and gain programmatic control over your self-hosted AI ecosystem. This server allows you to bridge your custom agents and models with any MCP-compatible client.
GitHub Copilot Agent mode brings LibreChat data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 4 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
What you can do
- Agent Orchestration — List all available agents and models configured in your LibreChat environment.
- Unified Completions — Create chat completions using the Agents API, providing an OpenAI-compatible interface for your custom setups.
- Open Responses — Utilize the Open Responses API specification to generate structured AI outputs.
- Session Management — Authenticate directly via email and password to retrieve access tokens when a static API key is not preferred.
The LibreChat MCP Server exposes 4 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 4 LibreChat tools available for VS Code Copilot
When VS Code Copilot connects to LibreChat through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-orchestration, chat-interface, self-hosted, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Chat completions on LibreChat
Model corresponds to an Agent ID. Create a chat completion using the Agents API
List models on LibreChat
List available LibreChat models/agents
Login on LibreChat
Login to LibreChat to get access and refresh tokens
Open responses on LibreChat
Create a response using the Open Responses API
Connect LibreChat to VS Code Copilot via MCP
Follow these steps to wire LibreChat into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Create MCP config
.vscode/mcp.json file in your project rootAdd the server config
Enable Agent mode
Start using LibreChat
Why Use VS Code Copilot with the LibreChat MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with LibreChat 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
LibreChat + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the LibreChat 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 LibreChat in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with LibreChat immediately.
"List all available agents in my LibreChat instance."
"Login to LibreChat using my credentials."
"Ask agent_123 to summarize the latest trends in AI."
Troubleshooting LibreChat MCP Server with VS Code Copilot
Common issues when connecting LibreChat to VS Code Copilot through Vinkius, and how to resolve them.
MCP tools not available
LibreChat + VS Code Copilot FAQ
Common questions about integrating LibreChat 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.Explore More MCP Servers
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