You will get a custom Claude MCP server connecting your data and tools

Chung H.Status: Offline
Chung H. Chung H.

Let a pro handle the details

Buy Generative AI services from Chung, priced and ready to go.
Chung H.Status: Offline
Chung H. Chung H.

Let a pro handle the details

Buy Generative AI services from Chung, priced and ready to go.

Project details

Connect Claude directly to your business systems (CRM, database, Google Sheets, Notion, internal APIs) with a custom MCP (Model Context Protocol) server.

What you get:
• Full source code (Python FastMCP or TypeScript MCP SDK)
• Setup guide for Claude Desktop / Claude Code
• Example prompts for your team
• Post-delivery support per your tier

Why me: I run a 7-agent Claude system over a 5,650-item RAG knowledge base as my daily setup, and I maintain MCP integrations for a client's ERP/MES workflows in production. Every tool gets tested end to end against Claude before handoff, and ships with docs your team can follow.
AI Algorithms
Large Language Model, Multimodal Large Language Model
AI Applications
AI Chatbot, Conversational AI, Natural Language Generation
AI Development Language
Python
AI Models
ChatGPT, GPT-4
What's included
Service Tiers Starter
$399
Standard
$799
Advanced
$1,499
Delivery Time 5 days 10 days 21 days
Number of Revisions
123
AI Model Integration
Batch Normalization
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Database Integration
Detailed Code Comments
Image Upscaling
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MLOps
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Model Deployment
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Model Documentation
Model Monitoring
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Model Testing & Optimization
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Model Tuning
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Natural Language Processing
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NLP Tokenization
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Pre-Training
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Prompt Engineering
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Setup File
Source Code
Chung H.Status: Offline

About Chung

Chung H.Status: Offline
AI Agent & MCP Engineer | RAG, Chatbots, Python/TypeScript
Tainan, Taiwan - 7:27 am local time
I build AI agents and RAG systems. Most of my work is connecting an LLM (Claude, OpenAI, Gemini) to the tools and data a business already has, then making the whole thing stable enough to leave running.

Things I can help with:

• MCP servers and tool integrations (Python, TypeScript, Node.js, Cloudflare Workers)
• RAG knowledge bases: multi-source ingestion, vector search, scheduled updates
• Chatbots for LINE and Discord, from webhook setup to conversation state
• Multi-agent systems with routing, handoff rules, and failure handling
• Prompt engineering, API integration, OAuth/API-key debugging, automation pipelines

Recent work:

OpenClaw, a multi-agent coordination system I run in production. Seven agents routed across Claude and Gemini, a 450-line TypeScript coordinator, and a RAG knowledge base of 5,650+ items from Discord, Obsidian, and memory files. Cron jobs handle daily maintenance and backups; errors page me on Discord.

LINE Bot "Qi", a messaging bot serving an active gaming guild since January 2026. Webhook handling, conversation flow, persistent state. 99.9% uptime so far.

At Muse Precision Co., Ltd. I work as an AI Integration Specialist: RAG customer-service workflows, LLM automation with OpenAI, Claude, and Gemini, and MCP tooling across 18+ project configurations.

One habit worth knowing: I document as I go. When something breaks, the fix goes into a runbook so it's faster the second time. Delivery is Git-based with Markdown docs, and I work well async.

Stack: Python, TypeScript, Node.js, Claude, OpenAI API, Gemini API, GCP, OAuth 2.0, vector databases, RAG, MCP, Discord/LINE bots, cron, webhooks, n8n-style automation.

I'm in Taiwan (UTC+8), available 4–6 hours on weekdays and more on weekends. Fluent English, native Mandarin.

Send over your API docs or a rough idea of what you want automated, and I'll tell you how I'd build it.

Steps for completing your project

After purchasing the project, send requirements so Chung can start the project.

Delivery time starts when Chung receives requirements from you.

Chung works on your project following the steps below.

Revisions may occur after the delivery date.

Scope confirmation

We confirm data sources, the tools you need, auth method, and success criteria before any code is written.

Build and test

I develop the MCP server, connect your data sources, and test every tool end to end with Claude.

Review the work, release payment, and leave feedback to Chung.