🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
MaxKB MCP server exists for a simple reason — assistants are far more useful when they can act on MaxKB directly instead of describing what you should do. 🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。.
Installation goes through your MCP client rather than a global install: point it at 1panel/maxkb on a container image and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Once MaxKB is connected, these are the calls the assistant has available:
Model-Agnostic — Supports various large models, including private models (such as DeepSeek, Llama, Qwen, etc.) and public models (like OpenAI, Claude, Geminiusername — adminpassword — MaxKB@123.Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. MaxKB's toolset — Model-Agnostic, username, password — is a fair guide to whether it matches your workflow. It is maintained by 1Panel-dev; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Model-Agnostic | Supports various large models, including private models (such as DeepSeek, Llama, Qwen, etc.) and public models (like OpenAI, Claude, Gemini, MiniMax, etc.). |
| username | admin |
| password | MaxKB@123.. |
{
"mcpServers": {
"maxkb": {
"command": "docker",
"args": ["run", "-i", "--rm", "1panel/maxkb"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.