Developer Tools MCP 서버

TestRail

Integrate AI assistants with TestRail to manage projects, test cases, test runs, and results.

Dataverse

Enables schema operations for Microsoft Dataverse, facilitating the creation and management of tables, columns, relationships, and option sets via the Dataverse Web API.

Semantic Prompt

Provides an NLP-inspired adaptive reasoning engine for orchestrating Large Language Models.

Task Manager

Manages tasks and project plans through a terminal-based user interface and API.

Redmine

Integrates Redmine projects and issues with the Cline VS Code extension.

Tavily Search

Provides a Model Context Protocol (MCP) server powered by the Tavily API for accessing business, news, finance, and political information.

Full Stack Developer

Automates the rapid generation of high-quality Next.js applications using AI-driven context engineering and a structured development methodology.

R3

Provides a sub-5ms intelligent memory layer for AI applications, offering fast local caching, real vector embeddings, and knowledge graph capabilities for Large Language Models.

AutoBuild

Automates and monitors code builds for any project by watching for code changes, triggering builds, managing concurrency, and capturing logs.

OpenWebUI Tool

Provides a versatile ToolRegistry OpenAPI/MCP server for AI platforms like Open-WebUI and Cherry-Studio.

File System

Provides secure and comprehensive file system operations for AI assistants and other Model Context Protocol (MCP) clients.

Vice

Bridges modern AI assistants with retro computing by exposing the VICE Commodore emulator's powerful debugging capabilities.

Jira

Enables interaction with Jira instances using natural language commands through a Model Context Protocol (MCP) server.

PubNub

Exposes PubNub SDK documentation and API resources to Large Language Model (LLM)-powered tools, enhancing their ability to interact with PubNub.

Demo

Demonstrates a Model Context Protocol (MCP) server using `stdio` transport.

OpenZIM

Transforms static ZIM archives into dynamic knowledge engines for large language models, enabling offline access and search of ZIM format knowledge bases.

Quarkus Agentic

Implements an agentic application utilizing multiple Model Context Protocol (MCP) servers alongside Quarkus and LangChain4j.

Tool Calling LangChain

Integrates Model Control Protocol (MCP) servers with LangChain to enable language models to call custom tools.

WebSocket

Implements a Model Context Protocol (MCP) server and client using WebSockets for improved communication with local language models.

ERPNext

Integrates AI assistants with ERPNext/Frappe to manage data and facilitate comprehensive custom application development.