W
waldzellai/mcp-agent-ts
TypeScript port of the MCP Agent framework
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"waldzellai-mcp-agent-ts": {
"command": "npx",
"args": ["-y", "@smithery/cli"]
}
}
}Parsed from the README we fetched on 2026-11-05; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"waldzellai-mcp-agent-ts": {
"command": "npx",
"args": ["-y", "@smithery/cli"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio waldzellai-mcp-agent-ts -- npx -y @smithery/cli
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
npx -y @smithery/cli
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx -y @smithery/cli. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
# 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:
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- awesome · https://github.com/waldzellai/mcp-agent-ts
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