Unified MCP Suite

@Godzilla675

代码仓库

基本信息

分类

推理

传输方式

stdio

作者

Godzilla675

关于 Unified MCP Suite

A suite of Model Context Protocol (MCP) servers designed to enhance AI agent capabilities. Provides tools for media search/understanding (images, video), web information retrieval, PDF generation, and PowerPoint presentation creation, enabling agents to interact with diverse data

#agentic-ai#ai-tool-suite#media-retrieval

Unified MCP Suite 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "agentic-ai-tool-suite": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

Unified MCP Suite 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Unified MCP Suite?

Unified MCP Suite is a collection of Model Context Protocol (MCP) servers packaged together for convenience, providing media handling, information retrieval, and document creation capabilities for AI assistants.

How to use Unified MCP Suite?

The easiest way is to use npx to run the published npm packages (e.g., npx -y information-retrieval-mcp-server) and configure each server individually in your MCP client's settings file. Alternatively, clone the repository and build each server from source.

Key features of Unified MCP Suite

Search images via Unsplash and videos via YouTube.
Download and understand image/video content using Google Gemini.
Perform web searches with Google Custom Search and crawl web pages.
Generate PDF documents from HTML content using Playwright.
Create PowerPoint presentations from HTML slides.

Use cases of Unified MCP Suite

Search for images and videos and have their content understood by an LLM.
Retrieve up-to-date information from web searches and page crawling.
Produce PDF reports or documents from raw HTML.
Assemble slide presentations and PDFs from HTML content.

常见问题

What are the runtime requirements for Unified MCP Suite?

The TypeScript/Node.js servers require Node.js and npm. The Python servers require Python 3, a virtual environment, and Playwright browsers (`playwright install`).

Where do API keys go?

API keys are set as environment variables in the MCP client configuration file (e.g., `GOOGLE_API_KEY`, `UNSPLASH_ACCESS_KEY`). See the example `claude_desktop_config.json`.

Which servers require no API keys?

The PDF Creator Server and Presentation Creator Server require no API keys. All other servers need at least one external API key.

How are the servers started?

Once configured in the MCP client's settings file, the servers start automatically when the client launches and communicate via stdio.

Can I use Unified MCP Suite with any MCP client?

Yes, it is designed for MCP clients like Cline or the Claude Desktop App, configured via `cline_mcp_settings.json` or `claude_desktop_config.json`.

推理分类下的更多 MCP 服务器

Proplan Mcp

King-Proplan

MCP server that gives Claude persistent project memory — roadmap, session history, and codebase context. Type continue and Claude picks up exactly where you left off

Task Planner MCP Server

CaptainCrouton89

An MCP (Model Context Protocol) server that helps AI assistants (like Claude) break down complex tasks into manageable steps, track progress, and manage a hierarchical task list.

Agentic Swmm Workflow

Zhonghao1995

Agentic SWMM is an automated, auditable, and memory-informed framework for reproducible stormwater modelling, integrating QGIS and EPA SWMM through the aiswmm runtime, reusable Skills, and MCP interfaces, with QA verification, provenance tracking, calibration support, and Codex,

MCP Servers

junfanz1

This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent

Node Code Sandbox MCP 🛠️

mozicim

# 🐢🚀 Node.js Sandbox MCP ServerThis repository hosts a Node.js server that implements the Model Context Protocol (MCP) for running JavaScript in isolated Docker containers. It allows for on-the-fly npm dependency installation, making it easy to execute code safely and efficient