This MCP client server allows users to utilize GroqCloud's inference capabilities efficiently, interfacing with both local and remote MCP servers for high-performance tasks.
Added on:
Created by:
Apr 24 2025
This MCP client server allows users to utilize GroqCloud's inference capabilities efficiently, interfacing with both local and remote MCP servers for high-performance tasks.
Added on:
Created by:
Apr 24 2025
YeshwanthSadum
Featured
What is groq-mcp-client?
The groq-mcp-client is a free, open-source client server that connects to MCP (Model Cloud Protocol) servers, providing high-performance inference leveraging GroqCloud's infrastructure. It supports connecting to local servers via standard input/output and remote servers via SSE, facilitating seamless integration for AI and model inference tasks. Its features include easy setup, environment configuration, and the ability to handle multiple MCP servers, making it suitable for developers, researchers, and enterprises seeking scalable inference solutions.
Who will use groq-mcp-client?
- Developers
- Researchers
- AI practitioners
- Data Scientists
- Organizations needing scalable inference
How to use the groq-mcp-client?
- Step 1: Clone the repository from GitHub
- Step 2: Create and activate a virtual environment
- Step 3: Install dependencies using pip and uv
- Step 4: Configure server_config.json with local and remote MCP servers
- Step 5: Add the required environment variables (.env file with API key and model)
- Step 6: Run the CLI chat tool using `python src/main.py`
groq-mcp-client's Core Features & Benefits
The Core Features
- Connects to local MCP servers via stdin/stdout
- Connects to remote MCP servers via SSE
- Leverages GroqCloud's high-performance inference
- Supports environment configuration and customization
The Benefits
- High scalability and performance
- Easy setup and integration
- Supports multiple server connections
- Open-source and customizable
groq-mcp-client's Main Use Cases & Applications
- AI model inference tasks in research and development
- Scalable deployment of AI models
- Integration with high-performance cloud inference services
- Prototyping and testing AI applications
FAQs of groq-mcp-client
Developer
- YeshwanthSadum
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
Cloud Platforms
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
Automates MCP server creation for AWS services using boto3, simplifying server setup for development.
A serverless MCP hosted in AWS Lambda that interacts with AWS Bedrock for AI model processing via API Gateway.
A server-client MCP facilitating communication and data exchange between AI services and storage systems.
Enables interaction with SharePoint Online via REST API, supporting site, list, and user management functions.
A comprehensive suite of containers for efficient microservices deployment and management.
A client and server setup facilitating GitLab SSE communication via a supergateway for real-time updates.
A cross-platform package manager designed to manage all MCP servers efficiently and seamlessly.
A demo project showing how to build an MCP client agent to connect to external services via MCP protocol.
Implements an MCP server and client using FastMCP and LangChain for structured asynchronous communication.