What does this server do?
It serves documentation from the Awesome-llms-txt collection into conversations via the Model Context Protocol, making the information available as MCP resources.
@SecretiveShell
基本信息
MCP server for SecretiveShell/Awesome-llms-txt. Add documentation directly into your conversation via MCP resources.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"MCP-llms-txt": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@SecretiveShell/MCP-llms-txt",
"--client",
"claude"
]
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
mcp-llms-txt is an MCP server for the Awesome-llms-txt collection. It adds documentation from this collection directly into conversations via MCP resources, allowing users to bring relevant knowledge into their chat without leaving the context.
Install via Smithery using npx -y @smithery/cli install @SecretiveShell/MCP-llms-txt --client claude or manually by adding a configuration entry to your Claude Desktop config: command uvx with args ["mcp-llms-txt"] and env PYTHONUTF8=1. No API keys or secrets are required.
It serves documentation from the Awesome-llms-txt collection into conversations via the Model Context Protocol, making the information available as MCP resources.
The server runs via `uvx` or `npx` and has no external dependencies beyond the MCP client. No API keys or secrets are needed.
You can use Smithery with `npx -y @smithery/cli install @SecretiveShell/MCP-llms-txt --client claude` or manually add the JSON config shown in the README.
No authentication is required; the server has no access keys or secrets.
The documentation is sourced from Awesome-llms-txt, a community-maintained collection of llms.txt files.

LoadOptimizer plans truck, container and pallet loads with a real optimization engine, straight from your AI assistant. Describe the order in plain language, for example "plan 36 Euro pallets on a standard 13.6 m trailer

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

Run advanced phishing, voice phishing, deepfake fraud simulations, and cybersecurity awareness training from your AI assistant.

Model Context Protocol Servers

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.
评论