MCP Client is a tailored version of dolphin-mcp, focusing on resource control and communication for research purposes, enhanced with direct resource support and modified log features.
Added on:
Created by:
May 09 2025
MCP Client is a tailored version of dolphin-mcp, focusing on resource control and communication for research purposes, enhanced with direct resource support and modified log features.
Added on:
Created by:
May 09 2025
Hades Gu
Featured
What is MCP Client?
The MCP Client is a specialized implementation derived from dolphin-mcp, adapted for educational and research contexts. It enables users to manage and control resources, facilitate communication, and extend functionalities with custom configurations. Key features include resource management support, direct resource handling, logging modifications, and compatibility with Python 3.10. It serves as a flexible tool for developers and researchers to experiment with MCP protocols and resource orchestration in various computing environments.
Who will use MCP Client?
- Developers
- Researcher
- Students
- Educators
How to use the MCP Client?
- Step 1: Clone the repository from GitHub
- Step 2: Install required dependencies from requirements.txt
- Step 3: Configure mcp_config.json for your environment
- Step 4: Run the main script mcp-client.py
- Step 5: Use the provided interfaces to manage resources and communication
MCP Client's Core Features & Benefits
The Core Features
- Resource management
- Resource control
- Communication support
- Custom configuration handling
- Logging modifications
The Benefits
- Enhanced resource control for research
- Flexible customization
- Simplified resource interaction
- Supports direct resource access
- Improved logging behavior
MCP Client's Main Use Cases & Applications
- Research experiments involving resource orchestration
- Educational demonstrations of MCP protocols
- Custom resource management in controlled environments
FAQs of MCP Client
Developer
- Hades-gsl
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.
Communication
A server that leverages AI and WhatsApp API to enhance messaging capabilities and automation.
A server integrating LINE Messaging API to connect AI Agents with LINE Official Accounts, enabling message exchange and user profile retrieval.
A server that manages airtime top-ups and transactions using Africa's Talking API for multiple African countries.
A server implementation for MCP with HTTP interface, providing core communication functionalities.
A Python-based client facilitating communication between various components via messaging protocols.
A protocol to enable AI-driven operations and integrations within Chatwork via customizable MCP configurations.
A Python-based MCP that integrates a Gemini client with an MCP server to facilitate communication and data exchange.
Enables DingTalk integration by implementing MCP for communication, data exchange, and automation within DingTalk ecosystem.
A Python-based MCP server managing remote procedure calls and server-client communication for modular applications.
A command-line desktop client enabling seamless communication with MCP servers via StdIO, supporting multiple protocols.