This MCP server enables seamless integration and management of different AI communication protocols, including OpenAI and Claude, with support for Docker and CLI operation. It offers a flexible architecture for deploying and configuring various MCP protocols, making it suitable for advanced AI assistant frameworks and enterprise AI solutions.
Added on:
Created by:
Apr 16 2025
This MCP server enables seamless integration and management of different AI communication protocols, including OpenAI and Claude, with support for Docker and CLI operation. It offers a flexible architecture for deploying and configuring various MCP protocols, making it suitable for advanced AI assistant frameworks and enterprise AI solutions.
Added on:
Created by:
Apr 16 2025
HappymanOkajima
Featured
What is apm-mcp-server?
The apm-mcp-server is a modular and extensible MCP (Message Communication Protocol) server designed to facilitate communication between AI models and clients. It supports multiple protocols such as OpenAI and Claude, with configurable deployment options through Docker, CLI, and desktop configurations. The server manages API keys, protocols, and message routing, enabling developers to build complex AI ecosystems. It also includes tools for data management, such as Chromadb integration, and allows customization via JSON configurations for protocol-specific settings. Its flexible architecture ensures compatibility with various AI services, making it ideal for developing AI assistants, chatbots, and enterprise AI integrations.
Who will use apm-mcp-server?
- AI developers
- Enterprise AI solution providers
- Research teams working on AI integrations
- Developers deploying custom AI MCP protocols
How to use the apm-mcp-server?
- Step1: Clone the repository from GitHub
- Step2: Configure the .env file with your API keys
- Step3: Customize the configuration files for your MCP protocols
- Step4: Build Docker image or run CLI commands to deploy the server
- Step5: Start the server and connect your client applications
apm-mcp-server's Core Features & Benefits
The Core Features
- Supports multiple protocols including OpenAI and Claude
- Docker and CLI deployment options
- Configurable protocol settings via JSON files
- Data management with Chromadb integration
- Tools for database creation and data insertion
- Extensible architecture for custom plugins
The Benefits
- Flexible deployment options
- Easy configuration and customization
- Supports multiple AI providers
- Scalable for enterprise solutions
- Simplifies complex AI communication workflows
apm-mcp-server's Main Use Cases & Applications
- Building multi-protocol AI chatbots
- Enterprise AI system integrations
- AI research experiments requiring protocol flexibility
- Automated data management for AI training and testing
FAQs of apm-mcp-server
Developer
- HappymanOkajima
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.
Virtualization
A Python-based MCP setup that allows quick deployment of weather data services for MCP hosts and clients.
A JavaScript/TypeScript-based MCP client for integrating and managing multiple services efficiently.
A client implementation to connect and interact with MCP servers, enabling tool discovery and remote service integration.
A command-line interface for interacting with MCP servers via stdio and HTTP transport, simplifying server communication.
A TypeScript client for interacting with MCP servers, supporting JSON-RPC requests and specialized services.
Simple MCP server enabling shell execution, local connectivity via Ngrok, and Docker-based Ubuntu24 container hosting.
A tool to connect AI agents to remote MCP servers, enabling tool discovery, authentication, and resource integration.
A Java-based MCP server for managing Minecraft modpack configurations and server operations.
A desktop application using Compose Multiplatform that connects to MCP servers for weather and game data management.