3,400+ MCP servers ready to use
Vinkius

Bring Llm Inference
to VS Code Copilot

Learn how to connect Groq to VS Code Copilot and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Analyze SentimentCreate Chat CompletionExplain CodeExtract EntitiesFix GrammarGenerate CodeGet Model DetailsList Available ModelsSummarize TextTranslate Text
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the Groq MCP Server?

Connect your Groq Cloud account to any AI agent and leverage the incredible speed of LPU™ (Language Processing Unit) technology for real-time inference and content generation.

What you can do

  • Chat Orchestration — Generate high-speed chat completions using state-of-the-art models like Llama 3.3 and Mixtral with sub-second latency
  • Model Intelligence — List all available high-performance models and retrieve detailed metadata regarding ownership and capabilities
  • Text Processing — Programmatically summarize long documents, analyze sentiment, and translate text between languages instantly
  • Developer Automation — Generate optimized code snippets, explain complex logic, and perform grammar correction through natural language
  • Entity Extraction — Identify and extract structured information (names, dates, locations) from unstructured text as JSON objects

How it works

1. Subscribe to this server
2. Retrieve your API Key from the Groq Cloud console (API Keys section)
3. Start leveraging high-speed LLM inference from Claude, Cursor, or any MCP client

No more waiting for slow model responses. Your AI acts as a real-time intelligence engine delivering results in milliseconds.

Who is this for?

  • AI Developers — build low-latency applications and experiment with different high-performance models programmatically
  • Data Analysts — process large volumes of text for sentiment and entity extraction without the friction of traditional LLM speeds
  • Technical Writers — instantly summarize technical docs and explain code snippets for documentation workflows

Built-in capabilities (10)

analyze_sentiment

Analyze sentiment of a text

create_chat_completion

Supports models like llama-3.3-70b-versatile. Generate a response using Groq LLM

explain_code

Explain how a code snippet works

extract_entities

Extract named entities from text

fix_grammar

Correct grammar and spelling errors

generate_code

Generate code snippets from natural language

get_model_details

Get metadata for a specific model

list_available_models

List all available high-performance models

summarize_text

Summarize long text using Llama 3

translate_text

Translate text between languages

Why VS Code Copilot?

GitHub Copilot Agent mode brings Groq 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.

  • —

    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

See it in action

Groq in VS Code Copilot

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Groq and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Groq to VS Code Copilot through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for VS Code Copilot →
Enterprise Security

Why teams choose Vinkius for Groq in VS Code Copilot

The Groq 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in VS Code Copilot only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Use with Your AI Agent View full Groq details →
Groq
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

The Vinkius Advantage

How Vinkius secures Groq for VS Code Copilot

Every tool call from VS Code Copilot to the Groq MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I get a Groq API Key?

Log in to your Groq Cloud account, navigate to the API Keys section, and click Create API Key.

02

Which models provide the best performance?

Models like llama-3.3-70b-versatile and mixtral-8x7b-32768 provide an excellent balance of high-fidelity reasoning and speed on Groq.

03

Can I use Groq for code generation?

Yes! Use the generate_code and explain_code tools to ask the models to write snippets or provide step-by-step logic explanations.

04

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.

05

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.

06

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.

07

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.

08

MCP tools not available

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