Developer Tools MCPサーバー

TypeScript Tools

Provides automated refactoring and code analysis capabilities for TypeScript projects.

Docker

Enables AI assistants to manage Docker containers, view logs, monitor resources, and troubleshoot issues without requiring manual Docker commands.

Tiny

Implements a Model Context Protocol (MCP) client using the OpenAI API.

Prompt Enhancer

Intelligently preprocesses LLM prompts with adaptive context management to improve AI response quality.

Client Server Assessment

Executes system commands based on client queries using an LLM for command generation.

Flask Webapp

Integrates LLMs with MCP tools, enabling users to process prompts using various AI models and contextual tools.

Flow

Provides local and remote servers to execute FlowMCP schemas for AI–API integration.

Rongcloud Native

Facilitates real-time communication by providing programmatic access to Rongcloud Instant Messaging services through the MCP protocol.

Context Engineering

Streamline prompt engineering, manage AI model context, and optimize performance for better AI project results.

Mathematics

Empower AI assistants with secure, enterprise-grade mathematical calculations through AST-based evaluation and a comprehensive function library.

Chat Rag

Provides a Next.js-based starting point for building applications.

Docs

Automates the generation of OpenAPI 3.0 API documentation by analyzing Django REST Framework ViewSets.

Docker

Exposes Docker and Docker Swarm commands as Model Context Protocol (MCP) tools.

C# SDK Tutorial

Demonstrates Model Context Protocol (MCP) server implementation using the C# SDK, with additional examples for resources and prompts.

Docs2Prompt

Enables documentation from GitHub repositories or websites to be converted into prompts suitable for Large Language Models (LLMs) through an MCP server.

Baidu iRAG

Integrates Baidu's iRAG image generation API, allowing Model Context Protocol (MCP) clients to create images through a standardized interface.

Agentico

Simplifies interaction with the Model Context Protocol by providing a facade for creating MCP servers.

Apple

Integrates native Apple applications with the Model Context Protocol (MCP) for enhanced automation and interaction.

Wikisearch

Access and search Wikipedia content locally through ZIM files, providing results in HTML or Markdown.

VC-Buddy

Enhance vibe coding with an AI-powered assistant.