# Resource Management

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

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.

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.

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

An LLM service framework based on YAML configuration

rs_filesystem is a simple file system toolset that can be used in the Claude desktop or other MCP clients, providing functions for displaying resources, prompts, and tools, and communicating through the MCP protocol.

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

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

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.

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

MCP-Serve is a multilingual translation service based on the MCP protocol, providing text translation and resource management functions, and supporting interaction with AI models to expand capabilities.

A front - end development toolset that provides practical functions such as Figma design - to - code conversion, API automation, and resource management to optimize the development process.

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.

This is an MCP server project for Oracle Cloud Infrastructure, which allows LLMs to directly manage OCI resources and supports functions such as dynamic configuration file switching, management of computing instances, and database systems.

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.

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.

MCP file system toolset implemented in Rust

This is an MCP protocol server based on TypeScript, integrating services such as Salesforce, Atlassian (Jira/Confluence), and Supabase, providing standardized tool calls and resource access interfaces for AI agents

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

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.

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.

A comprehensive AWS cost analysis and optimization recommendation MCP server that integrates AWS core services such as Cost Explorer and Compute Optimizer, providing resource optimization solutions and cost - saving suggestions.

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.

A NestJS module for easily exposing AI tools, resources, and prompts via the Model Context Protocol (MCP), supporting multiple transport types and dependency injection.

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.

The Freepik FastMCP toolkit is an MCP server used to seamlessly integrate AI assistants with the Freepik API, providing functions such as icon search and download, resource management, image classification, and generation.

Azure Resource Query MCP Server, providing cross - subscription Azure Resource Graph query capabilities

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.

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