You will get Custom MCP Servers for APIs, Databases and AI Tools
Project details
Need a custom MCP (Model Context Protocol) server for Claude, ChatGPT, Cursor, Windsurf, or your AI agents?
I build secure, scalable, and production-ready MCP servers that allow AI assistants to interact with APIs, databases, SaaS platforms, internal tools, and business systems. Whether you need a simple tool integration or a complete AI agent ecosystem, I can deliver a reliable solution tailored to your requirements.
My services include MCP server development, API integrations, database connectivity, authentication and security implementation, deployment, documentation, and ongoing support.
Supported integrations include PostgreSQL, MongoDB, REST APIs, GraphQL, Stripe, CRMs, AWS services, Git repositories, knowledge bases, and custom business tools.
You'll receive clean, maintainable source code, technical documentation, deployment guidance, and a production-ready implementation designed for scalability and long-term use.
I build secure, scalable, and production-ready MCP servers that allow AI assistants to interact with APIs, databases, SaaS platforms, internal tools, and business systems. Whether you need a simple tool integration or a complete AI agent ecosystem, I can deliver a reliable solution tailored to your requirements.
My services include MCP server development, API integrations, database connectivity, authentication and security implementation, deployment, documentation, and ongoing support.
Supported integrations include PostgreSQL, MongoDB, REST APIs, GraphQL, Stripe, CRMs, AWS services, Git repositories, knowledge bases, and custom business tools.
You'll receive clean, maintainable source code, technical documentation, deployment guidance, and a production-ready implementation designed for scalability and long-term use.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, AIOps, Natural Language Generation, Natural Language Understanding, Sequence ModelingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, ReplitAI Models
ChatGPT, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$200
|
Standard
$600
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $200
Additional Revision
+$40
MCP Deployment & Hosting Setup
(+ 2 Days)
+$300
Database Integration
(+ 2 Days)
+$200
Deployment & Hosting Setup
(+ 3 Days)
+$300About Abdul
AI/LLM Engineer | RAG, AI Agents, MCP Servers | Full-Stack Architect
Karachi, Pakistan - 3:26 am local time
Recent work:
• Stateful multi-agent workflows in LangGraph with MCP-based tool integration and hybrid RAG (pgvector + reranking) — production teams query historical manufacturing data in plain English
• LLM evals, tracing, and prompt caching with LangFuse that cut token spend while holding answer quality
• AI-powered anomaly detection and automated reporting on live production-monitoring systems (Python, FastAPI, GPT-4, Llama)
I'm strong on the parts demos skip: evals and observability (LangSmith/LangFuse), fallbacks, rate limiting, and FinOps cost monitoring — so what we launch keeps working at real traffic.
Stack: Python (FastAPI), TypeScript/Node.js (NestJS), React/Next.js, LangChain, LlamaIndex, LangGraph, pgvector, Pinecone, PostgreSQL, Kubernetes, Terraform, AWS/Azure/DigitalOcean.
How I work: clear scope before code, funded milestones, updates twice a week, and honest calls on what an LLM can and can't do for your use case.
Adding AI to an existing product, building an AI-first SaaS, or need agents that plug into your tools via MCP? Message me with what you're trying to build — I'll reply with an honest take and a plan.
Steps for completing your project
After purchasing the project, send requirements so Abdul can start the project.
Delivery time starts when Abdul receives requirements from you.
Abdul works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis & Solution Design
Review requirements, integrations, security needs, and deployment preferences.
MCP Server Development
Develop MCP server, tools, API connections, and business logic.