# Resource Management

This project demonstrates a basic implementation of the Model Context Protocol (MCP) based on the TypeScript SDK, including examples of a server and a client communicating via stdio.

The ModelContextProtocol (MCP) Java SDK is a standardized protocol implementation for communication between AI models and external tools or resources. It provides Java development toolkits for both clients and servers, supports synchronous and asynchronous operations, and includes functions such as resource management, tool invocation, and error handling.

An AI image generation server based on Replicate, supporting image generation, saving, and management

A note service system implementing the MCP protocol, providing note storage, summarization, and addition functions

The Firefly MCP server is a TypeScript - based service used to seamlessly integrate with the Firefly platform to achieve discovery, management, and coding of cloud and SaaS resources.

An MCP server project that implements a simple note storage system, providing note URI access, summary prompts, and addition tool functions

Database indexing service for automatically creating MCP resources

An MCP server based on TypeScript, implementing a simple note system, providing resource management, tool creation, and prompt generation functions, and supporting integration with Claude Desktop.

MCP file system toolset implemented in Rust

An MCP server based on Golang for connecting to Kubernetes clusters, providing resource query and operation functions.

MKP is a Model Context Protocol (MCP) server specifically designed for Kubernetes, providing tools for interacting with Kubernetes clusters and supporting resource query and application operations.

The MCP File System Server creates resources for each file in the working directory and provides change notifications, supporting .gitignore rules and MIME type detection

A secure terminal execution server based on the MCP protocol, providing controlled command execution capabilities

An MCP server implemented for the Transcripter project, providing AI-based transcription search, summary generation, and other functions, supporting a standardized model interaction protocol.

A TypeScript-based MCP server that implements a simple note system, providing note resources and a creation tool.

A general resource management system that supports the management of multiple resource types (papers, web pages, books, etc.) and integrates with the knowledge graph, providing structured notes and status tracking functions.

The Excalidraw MCP Server is an integration tool that provides a drawing API for large language models, supporting the creation, modification, and management of Excalidraw charts, including element control, resource management, and team collaboration functions.

A flexible resource management system that supports managing multiple types of resources (papers, web pages, books, etc.) and integrating with knowledge graphs, providing functions such as unified identification, structured notes, and status tracking.

The ChatData MCP Server is a framework based on the Model Control Protocol, providing a toolset, prompt system, and resource management to enhance the capabilities of large language models.

MCP Server Resource Explorer Project

An LLM service framework based on YAML configuration

A TypeScript-based SAP on Azure Model Context Protocol (MCP) server that provides tools for SAP HANA database management and Azure resource management, supporting multiple transport protocols.

An MCP server that provides persistent storage and version tracking of IaC components for Claude AI

This project guides you on how to build a client-host-server system based on the MCP protocol, including a FastAPI server, an MCP client, and an SSE streaming server. It enables the interaction of resources, tools, and prompts and supports integration with the Claude desktop application.

A curated list of Model Context Protocol (MCP) servers, optimized for AI assistants like Claude, providing services such as file access, database connection, and API integration to extend AI capabilities.

The Port MCP Server is a natural - language interaction service designed for the Port.io developer platform, enabling fast querying, analysis, and resource creation through Claude.

An AWS resource query MCP server based on Python and boto3, deployed through Docker containerization, providing a secure code sandbox execution environment and supporting operations on multiple AWS services

A universal resource management system that supports managing multiple types of resources (papers, web pages, books, etc.) and integrating with knowledge graphs, providing functions such as resource identification, note - taking, status tracking, and entity association.

An MCP server based on Spring AI, a project that monitors system resources on various operating systems and provides information to AI models.

mcp-server-llmling is an MCP protocol server based on YAML configuration, providing functions such as resource management, tool systems, and prompt templates for LLM applications.