MCP Agent TS — AI skill for Claude Code
TypeScript port of the original MCP Agent framework by lastmile-ai.
How to install MCP Agent TS
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open waldzellai/mcp-agent-ts and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What MCP Agent TS does
TypeScript port of the original MCP Agent framework by lastmile-ai.
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README
[](https://mseep.ai/app/waldzellai-mcp-agent-ts)
MCP Agent TypeScript Port
[](https://smithery.ai/server/@waldzellai/mcp-agent-ts)
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](https://github.com/lastmile-ai/mcp-agent).
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](https://smithery.ai/server/@waldzellai/mcp-agent-ts):
npx -y @smithery/cli install @waldzellai/mcp-agent-ts --client claude
Manual Installation
npm install @waldzell/mcp-agent-ts
Quick Start
Creating a Workflow
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
r
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