Mcp Server

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ziwang-Physics

mcp-server

AgentChat MCP Server — expose 8 AI providers as MCP tools for any MCP-compatible client (Claude Desktop, Cursor, Continue.dev). Configuration/reference skill, not executable

Overview

Publisher	ziwang-Physics
Repository	`AgentChat`
Skill name	`mcp-server`
Stars	785
Forks	110
Bundled files	2
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ziwang-Physics on GitHub. Read the source before you install it.

Installation

Install the Mcp Server AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ziwang-Physics/AgentChat/tree/master/skills/mcp-server
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ziwang-Physics/AgentChat.git /tmp/AgentChat
mkdir -p .claude/skills
cp -r /tmp/AgentChat/skills/mcp-server .claude/skills/mcp-server

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mcp Server in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mcp Server on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mcp Server is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AgentChat MCP Server

最后更新: 2026-07-06 核心原则: 将 AgentChat 的 8 个 AI Provider 暴露为 MCP 工具，任何 MCP 兼容客户端可直接调用 Provider 层: AgentChat-OneWeb（单源真相） 安全策略: 永不关闭用户 Chrome

是什么

MCP（Model Context Protocol）Server 包装层。让 Claude Desktop、Cursor、Continue.dev 等 MCP 客户端直接发现并调用 AgentChat 的 AI Provider 降级链。

架构


Claude Desktop / Cursor / 任何 MCP 客户端
    │
    │  MCP Protocol (stdio JSON-RPC)
    ▼
AgentChat MCP Server (本 skill, ~200 行)
    │
    │  child_process.spawn('node', ['AgentChat-OneWeb/index.js', ...])
    ▼
AgentChat-OneWeb (8 个 Provider)
    │
    │  playwright-core → Chrome CDP port 9222
    ▼
Chrome → Gemini / ChatGPT / Claude / Qwen / Kimi / MiniMax / MiMo / DeepSeek

提供的工具

工具	功能	参数
`gemini_think`	Pro Extended Thinking 深度推理	`prompt` (必需), `timeout_ms` (可选)
`gemini_chat`	多轮对话（复用 tab，保留上下文）	`prompt` (必需)
`web_ask`	通过降级链调用任意 Provider	`prompt` (必需), `provider` (可选), `timeout_ms` (可选)
`web_smoke`	检查 8 个 Provider 可达性	无参数

配置方式

Claude Desktop

json
// claude_desktop_config.json
{
  "mcpServers": {
    "agentchat": {
      "command": "node",
      "args": ["path/to/AgentChat/skills/mcp-server/index.mjs"]
    }
  }
}

Cursor / Continue.dev

json
{
  "mcpServers": {
    "agentchat": {
      "command": "node",
      "args": ["skills/mcp-server/index.mjs"],
      "cwd": "path/to/AgentChat"
    }
  }
}

前提条件

Chrome CDP 必须在 9222 端口运行
至少一个 Provider 已在 Chrome 中登录
Node.js >= 18

依赖

依赖	说明
`@modelcontextprotocol/sdk`	MCP 协议实现
`AgentChat-OneWeb`	Provider 实现（同一仓库内）

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

index.mjs10 KB
package.json1 KB

Frequently asked questions

What does the Mcp Server AI skill do?

AgentChat MCP Server — expose 8 AI providers as MCP tools for any MCP-compatible client (Claude Desktop, Cursor, Continue.dev). Configuration/reference skill, not executable

Why use Mcp Server on TypingMind?

Because you install it once and use it with any model. Mcp Server is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mcp Server in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ziwang-Physics/AgentChat/tree/master/skills/mcp-server. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Mcp Server?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mcp Server?

As many as you like. As long as a model supports skills, you can use Mcp Server with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mcp Server AI skill free?

Yes. It is published on GitHub by ziwang-Physics under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

AgentChat MCP Server

是什么

架构

提供的工具

配置方式

Claude Desktop

Cursor / Continue.dev

前提条件

依赖

Bundled files

Frequently asked questions

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