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Groq MCP Server
for AI Agents

Connect your AI agent to StackOne's Groq MCP server and give it 20 MCP tools out of the box. Auth, tool execution, and security all managed.

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Groq MCP Server
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20 Agent Actions

Create, read, update, and delete across Groq — and extend your agent's capabilities with custom actions.

MCP Actions → Build Actions →

Authentication

Agent Tool Authentication

Per-user OAuth in one call. Your Groq MCP server gets session-scoped tokens with zero credentials stored on your infra.

Agent Auth →

Security

Agent Protection

Every Groq tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.

Prompt Injection Defense →

Performance

Max Agent Context. Min Cost.

Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Groq call.

Tools Discovery →

What is the Groq MCP Server?

A Groq MCP server lets AI agents read and write Groq data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Groq MCP server ships with 20 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.

All Groq MCP Tools

Every action from Groq's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.

Chat Completions

  • Create Chat Completion

    Send a structured conversation to a Groq-hosted model and receive a chat completion.

Responses

  • Create Response

    Create a response via Groq's beta Responses API (OpenAI-aligned).

Transcriptions

  • Create Transcription

    Transcribe an audio file into text using a Groq Whisper model.

Translations

  • Create Translation

    Translate non-English audio into English text using a Groq Whisper model.

Speechs

  • Create Speech

    Generate audio from input text using a Groq TTS model.

Models

  • List Models

    List all models currently available on Groq.

  • Retrieve Model

    Retrieve metadata for a single Groq model by ID.

Batches

  • List Batches

    List batch processing jobs for the organization.

Retrieve Batchs

  • Retrieve Batch

    Retrieve a single batch job by ID.

Create Batchs

  • Create Batch

    Create a batch job to process many chat completions asynchronously.

Cancel Batchs

  • Cancel Batch

    Cancel an in-progress batch job.

Files

  • Upload File

    Upload a JSONL file for use with the Batch API.

  • List Files

    List files uploaded to Groq.

  • Retrieve File

    Retrieve metadata for a single uploaded file by ID.

  • Download File

    Download the raw contents of a previously uploaded file by ID.

  • Delete File

    Delete a previously uploaded file by ID.

Fine Tunings

  • Create Fine Tuning

    Create a new fine-tuning job (closed beta).

  • List Fine Tunings

    List fine-tuning jobs (closed beta).

  • Get Fine Tuning

    Retrieve a single fine-tuning job by ID (closed beta).

  • Delete Fine Tuning

    Delete a fine-tuning job by ID (closed beta).

Set Up Your Groq MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to Groq in under 10 lines of code.

MCP Clients

Claude Desktop setup guide
Claude Code setup guide
Cursor setup guide
Goose setup guide

Agent Frameworks

Claude Desktop
{
  "mcpServers": {
    "stackone": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.stackone.com/mcp?x-account-id=<account_id>",
        "--header",
        "Authorization: Basic <YOUR_BASE64_TOKEN>"
      ]
    }
  }
}

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Platform Resources

MCP Code Mode: Keeping Tool Responses Out of Agent Context

Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.

11 min

Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery

Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.

10 min

Indirect Prompt Injection Defense for MCP Tools: A Technical Guide

MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.

12 min

MCP vs A2A: Architecture, Security, and When to Use Each

MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.

12 min

MCP vs API: What 200+ Connector Builds Taught Us

MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.

14 min read

Groq MCP Server FAQ

Does StackOne have a Groq MCP server?
Yes. StackOne offers a hosted Groq MCP server with 20 pre-built actions, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.
Groq MCP server vs direct API integration — what's the difference?
A Groq MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Groq. A Groq MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling Groq at runtime. StackOne provides both.
How does Groq authentication work for AI agents?
Groq authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Groq account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are Groq MCP tools vulnerable to prompt injection?
Yes — Groq MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a Groq agent and how do I avoid it?
Context bloat happens when Groq tool schemas and API responses eat your Groq agent's memory, preventing it from reasoning effectively. A single Groq query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my Groq agent can access?
Yes — you can limit which actions your Groq agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my Groq MCP server?
Yes — you can create custom agent actions for your Groq MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Groq's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Groq MCP server?
Skip a Groq MCP server if your integration is purely software-to-software — direct Groq API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call Groq actions at runtime.
What AI frameworks and AI clients does the StackOne Groq MCP server support?
The StackOne Groq MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.

Put your AI agents to work

All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.

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