You will get a custom Claude MCP server connecting your data and tools
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.
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 ModelAI Applications
AI Chatbot, Conversational AI, Natural Language GenerationAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$399
|
Standard
$799
|
Advanced
$1,499
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | |||
Source Code |
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AS
Asad S.
Jul 14, 2026
Taiwan Stablecoin Data Collection - Crypto Users - Bitstamp, Coinbase
Good Work!
About Chung
AI Agent & MCP Engineer | RAG, Chatbots, Python/TypeScript
Tainan, Taiwan - 7:06 am local time
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, Telegram, 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 (full write-ups in my portfolio below, code on GitHub):
Switchboard, a self-hosted, multi-tenant omnichannel support console: one real-time inbox for many messaging accounts, role-based collaboration, and real Telegram voice calls placed straight from the browser over a WebRTC-to-MTProto bridge. Next.js 16, TypeScript, PostgreSQL, Prisma.
Lorekeeper, a fully-async LLM pipeline that turns noisy group chats (LINE, Telegram) into a structured knowledge base in Notion, Markdown, or JSONL — multimodal classification, SSRF-guarded crawling, 36 offline tests, Docker deploy.
Roster, a Telegram-driven task, reminder, and leave-management service for small teams: recurrence engine, ANY/ALL completion rules, BullMQ + Redis scheduling, and a code-first GraphQL API on NestJS + Prisma.
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/Telegram 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.