W
waldzellai/mcp-agent-ts
TypeScript port of the MCP Agent framework
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置(取自该仓库的安装命令)
{
"mcpServers": {
"waldzellai-mcp-agent-ts": {
"command": "npx",
"args": ["-y", "@smithery/cli"]
}
}
}解析自我们于 2026-11-05 抓取的该仓库 README;我们未执行过。
command/args 来自仓库写明的安装命令;不确定时请以该项目 README 为准。
VS Code(.vscode/mcp.json —— 键名是 servers)
{
"servers": {
"waldzellai-mcp-agent-ts": {
"command": "npx",
"args": ["-y", "@smithery/cli"]
}
}
}VS Code 顶层键是 <code>servers</code>,其余与上面那份相同。
Claude Code(命令行)
claude mcp add --transport stdio waldzellai-mcp-agent-ts -- npx -y @smithery/cli
Claude Code 不收 JSON 文件,用这条命令直接加。
配置项的键名以你的客户端为准:客户端与 CLI
- 来源明细
- 收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
- 安装
npx -y @smithery/cli
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是
npx -y @smithery/cli。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
# MCP Agent TypeScript Port
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
## Overview
The MCP (Model Context Protocol) Agent TypeScript Port is a robust type-safe implementation of the MCP Agent system. It provides a flexible framework for building intelligent context-aware agents with advanced workflow management, logging, and execution capabilities.
This is a TypeScript port of the original MCP Agent framework by lastmile-ai.
## Features
🚀 Modular Architecture
Comprehensive TypeScript implementation
Flexible, extensible design
Type-safe interfaces
📊 Advanced Workflow Management
Step-based workflow execution
Concurrent task processing
Detailed context tracking
🔍 Powerful Logging System
Configurable log levels
Context-rich logging
Log export capabilities
🧰 Flexible Executor
Task queuing
Timeout handling
Concurrent task management
🖥️ CLI Support
Command-line interface
Easy agent management
## Installation
### Installing via Smithery
To install MCP Agent TypeScript Port for Claude Desktop automatically via Smithery:
bash
npx -y @smithery/cli install @waldzellai/mcp-agent-ts --client claude
### Manual Installation
bash
npm install @waldzell/mcp-agent-ts
## Quick Start
### Creating a Workflow
typescript
import { BaseWorkflow } from '@waldzell/mcp-agent-ts';
class MyDataProcessingWorkflow extends BaseWorkflow {
constructor() {
super('my-workflow', 'Data Processing');
this.addStep({
id: 'extract',
name: 'Data Extraction',
execute: async (context) => {
// Implement data extraction logic
return { data: ['item1', 'item2'] };
});
this.addStep({
id: 'transform',
name: 'Data Transformation',
execute: async (context) => {
// Implement data transformation logic
return { transformedData: ['ITEM1', 'ITEM2'] };
});
async function runWorkflow() {
const workflow = new MyDataProcessingWorkflow();
const results = await workflow.execute();
console.log(results);
### Logging
typescript
import { debug, info, warn, error } from '@waldzell/mcp-agent-ts';
// Log with different levels
debug('Debugging information', { userId: 123 });
info('System started');
warn('Potential issue detected');
error('Critical error occurred');
### CLI Usage
bash
# Start the MCP Agent
npx mcp-agent start
# List available tools
npx mcp-agent list-tools
# Set log level
npx mcp-agent log-level debug
## Executor Usage
typescript
import { BaseExecutor, Task } from '@waldzell/mcp-agent-ts';
const executor = new BaseExecutor({
maxConcurrentTasks: 3,
timeout: 60000 // 1-minute timeout
});
const task: Task = {
id: 'example-task',
name: 'Sample Task',
execute: async () => {
// Task implementation
return 'Task completed';
};
await executor.enqueueTask(task);
## Configuration
The MCP Agent can be configured through:
The MCP (Model Context Protocol) Agent TypeScript Port is a robust type-safe implementation of the MCP Agent system. It provides a flexible framework for building intelligent context-aware agents with advanced workflow management, logging, and execution capabilities.
This is a TypeScript port of the original MCP Agent framework by lastmile-ai.
## Features
🚀 Modular Architecture
Comprehensive TypeScript implementation
Flexible, extensible design
Type-safe interfaces
📊 Advanced Workflow Management
Step-based workflow execution
Concurrent task processing
Detailed context tracking
🔍 Powerful Logging System
Configurable log levels
Context-rich logging
Log export capabilities
🧰 Flexible Executor
Task queuing
Timeout handling
Concurrent task management
🖥️ CLI Support
Command-line interface
Easy agent management
## Installation
### Installing via Smithery
To install MCP Agent TypeScript Port for Claude Desktop automatically via Smithery:
bash
npx -y @smithery/cli install @waldzellai/mcp-agent-ts --client claude
### Manual Installation
bash
npm install @waldzell/mcp-agent-ts
## Quick Start
### Creating a Workflow
typescript
import { BaseWorkflow } from '@waldzell/mcp-agent-ts';
class MyDataProcessingWorkflow extends BaseWorkflow {
constructor() {
super('my-workflow', 'Data Processing');
this.addStep({
id: 'extract',
name: 'Data Extraction',
execute: async (context) => {
// Implement data extraction logic
return { data: ['item1', 'item2'] };
});
this.addStep({
id: 'transform',
name: 'Data Transformation',
execute: async (context) => {
// Implement data transformation logic
return { transformedData: ['ITEM1', 'ITEM2'] };
});
async function runWorkflow() {
const workflow = new MyDataProcessingWorkflow();
const results = await workflow.execute();
console.log(results);
### Logging
typescript
import { debug, info, warn, error } from '@waldzell/mcp-agent-ts';
// Log with different levels
debug('Debugging information', { userId: 123 });
info('System started');
warn('Potential issue detected');
error('Critical error occurred');
### CLI Usage
bash
# Start the MCP Agent
npx mcp-agent start
# List available tools
npx mcp-agent list-tools
# Set log level
npx mcp-agent log-level debug
## Executor Usage
typescript
import { BaseExecutor, Task } from '@waldzell/mcp-agent-ts';
const executor = new BaseExecutor({
maxConcurrentTasks: 3,
timeout: 60000 // 1-minute timeout
});
const task: Task = {
id: 'example-task',
name: 'Sample Task',
execute: async () => {
// Task implementation
return 'Task completed';
};
await executor.enqueueTask(task);
## Configuration
The MCP Agent can be configured through:
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/waldzellai-mcp-agent-ts/)
- 来源
- awesome · https://github.com/waldzellai/mcp-agent-ts
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- MCP 服务
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