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`).
@Godzilla675
基本情報
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
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"agentic-ai-tool-suite": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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.
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.
The TypeScript/Node.js servers require Node.js and npm. The Python servers require Python 3, a virtual environment, and Playwright browsers (`playwright install`).
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`.
The PDF Creator Server and Presentation Creator Server require no API keys. All other servers need at least one external API key.
Once configured in the MCP client's settings file, the servers start automatically when the client launches and communicate via stdio.
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`.
AI assistant integration for n8n workflow automation through Model Context Protocol (MCP). Connect Claude Desktop, ChatGPT, and other AI assistants to n8n for natural language workflow management.
AI-powered n8n workflow automation through natural language. MCP server enabling Claude AI & Cursor IDE to create, manage, and monitor workflows via Model Context Protocol. Multi-instance support, 17 tools, comprehensive docs. Build workflows conversationally without manual JSON
A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments and interact with various systems securely.
A security scanner for your LLM agentic workflows
This a simple implementation of an MCP server using iFlytek. It enables calling iFlytek workflows through MCP tools.
コメント