MCP(Model Context Protocol) server implementation

0
0 Reviews
0 Stars
This MCP provides a lightweight Model Context Protocol server, primarily for research and testing purposes. It supports basic interactions to manage model contexts and serve as a foundational tool for further development or experimentation in MCP-based systems.
Added on:
Created by:
Apr 07 2025
MCP(Model Context Protocol) server implementation

MCP(Model Context Protocol) server implementation

0 Reviews
0
0
MCP(Model Context Protocol) server implementation
This MCP provides a lightweight Model Context Protocol server, primarily for research and testing purposes. It supports basic interactions to manage model contexts and serve as a foundational tool for further development or experimentation in MCP-based systems.
Added on:
Created by:
Apr 07 2025
miyamo2
Featured

What is MCP(Model Context Protocol) server implementation?

The MCP (Model Context Protocol) server implementation is a simple, toy version designed to demonstrate basic MCP functionalities. It allows users to experiment with managing model contexts, suitable for testing and educational purposes. The server is implemented in Go and can be easily installed and integrated into different environments. While it is not intended for production use, it provides a solid starting point for developers exploring MCP protocols. Its core features include handling basic MCP requests, maintaining model contexts, and offering a demonstration interface through visual aids.

Who will use MCP(Model Context Protocol) server implementation?

  • Researchers
  • Developers experimenting with MCP
  • Educational institutions
  • Prototyping teams

How to use the MCP(Model Context Protocol) server implementation?

  • Step1: Install the MCP server using Go with 'go install github.com/miyamo2/mcp-restaurant-order@latest'
  • Step2: Run the server in your environment
  • Step3: Connect clients or tools to interact with the MCP server
  • Step4: Use the demo GIFs for understanding the interaction process

MCP(Model Context Protocol) server implementation's Core Features & Benefits

The Core Features
  • Basic MCP server implementation
  • Model context management
  • Demo interface with GIFs
  • Simple request handling
The Benefits
  • Easy to install and deploy
  • Useful for experimentation and learning
  • Foundation for further MCP development

MCP(Model Context Protocol) server implementation's Main Use Cases & Applications

  • Educational demonstrations of MCP protocol
  • Prototyping MCP integrations
  • Research testing for model context management

FAQs of MCP(Model Context Protocol) server implementation

Developer

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.

AI Chatbot

Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.