You will get a custom MCP server for your Claude or Anthropic API workflow


Project details
Need a Model Context Protocol (MCP) server custom-built for your Claude or Anthropic API workflow? I publish 6 public MCP plugins on GitHub and run MCP servers in production at my current company.
WHAT YOU GET:
• A fully working MCP server in Python (FastMCP) or TypeScript (official MCP SDK)
• Connection-tested against Claude Desktop, Claude Code, and the Anthropic API
• Schema validation, clean typed code, docstrings, and a README
POPULAR USE CASES:
• Connect Claude to your internal API, database, or CRM
• Custom document processors (Word, Excel, PDF)
• Workflow automation (Slack, Notion, Lark/Feishu)
• Retrieval tools for RAG over your knowledge base
WHY ME:
• MCP servers I built run daily in production (500+ daily AI sessions at 51Talk)
• 6 public MCP plugins on GitHub (linked in my Upwork profile) - verifiable
• 5 years building production AI systems; native Arabic + fluent English
PROCESS: share your use case -> I design the tool schema -> build + test -> deliver with docs.
WHAT YOU GET:
• A fully working MCP server in Python (FastMCP) or TypeScript (official MCP SDK)
• Connection-tested against Claude Desktop, Claude Code, and the Anthropic API
• Schema validation, clean typed code, docstrings, and a README
POPULAR USE CASES:
• Connect Claude to your internal API, database, or CRM
• Custom document processors (Word, Excel, PDF)
• Workflow automation (Slack, Notion, Lark/Feishu)
• Retrieval tools for RAG over your knowledge base
WHY ME:
• MCP servers I built run daily in production (500+ daily AI sessions at 51Talk)
• 6 public MCP plugins on GitHub (linked in my Upwork profile) - verifiable
• 5 years building production AI systems; native Arabic + fluent English
PROCESS: share your use case -> I design the tool schema -> build + test -> deliver with docs.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Text-to-Speech, AI-Generated Code, Automatic Speech Recognition, Conversational AI, Natural Language GenerationAI Models
ChatGPT, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 14 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 | - | - | - |
About Ahmed
AI Engineer | AI Agents, Automation, MCP & Voice | Claude Code
Cairo, Egypt - 2:06 am local time
Current: AI Business Partner at 51Talk HQ. I architect 15+ production AI apps with 100+ API endpoints powering 500+ daily voice/text sessions for tutoring teams.
What I build:
• AI agents & workflow automation — n8n, Make, Zapier, multi-agent orchestration
• Voice AI — VAPI, LiveKit, Whisper, ElevenLabs (Arabic + English)
• LLM systems — LangChain, RAG (Pinecone, Supabase), Anthropic + OpenAI APIs
• MCP servers — 6 published Claude MCP plugins; custom server dev
• Full-stack — Next js, Python (FastAPI), Supabase
Daily Claude Code power user. Stack: Python, TypeScript, FastAPI, Docker, GCP, Vercel.
Cairo, Egypt (GMT+2) — full EMEA overlap, 6 hrs US East. Native Arabic + fluent English. 30+ hrs/week. Contract or contract-to-hire.
Message me your bottleneck — I tell you whether AI fixes it before you spend a dollar.
Steps for completing your project
After purchasing the project, send requirements so Ahmed can start the project.
Delivery time starts when Ahmed receives requirements from you.
Ahmed works on your project following the steps below.
Revisions may occur after the delivery date.
Design, build & deliver your MCP server
I confirm your tool schema, build the MCP server, test it against your Claude client, and deliver with documentation