You will get a custom AI agent using LangGraph and MCP
Project details
I build a custom AI agent using LangGraph and MCP that transforms your business workflows, APIs, databases, and internal tools into intelligent automated systems capable of executing complex multi step tasks with accuracy and speed.
✔ I develop production ready solutions that integrate seamlessly into your existing stack and scale with your business needs.
• Custom AI agent using LangGraph and MCP for workflow automation
• API and database integration for real time data processing
• Multi step reasoning agents with memory and structured outputs
• Tool calling, decision flows, and autonomous task execution
• Human approval checkpoints and secure authentication layers
• Persistent conversation history and state management
• Optional Next.js dashboard for monitoring and control
I work with LangGraph, MCP architecture, LangChain, OpenAI API, Claude API, Python, FastAPI, Node.js, Next.js, PostgreSQL, Supabase, Redis, and cloud platforms like AWS and Vercel to build scalable and production ready AI systems.
custom AI agent using LangGraph and MCP, LangGraph AI agent developer, MCP integration expert
✔ I develop production ready solutions that integrate seamlessly into your existing stack and scale with your business needs.
• Custom AI agent using LangGraph and MCP for workflow automation
• API and database integration for real time data processing
• Multi step reasoning agents with memory and structured outputs
• Tool calling, decision flows, and autonomous task execution
• Human approval checkpoints and secure authentication layers
• Persistent conversation history and state management
• Optional Next.js dashboard for monitoring and control
I work with LangGraph, MCP architecture, LangChain, OpenAI API, Claude API, Python, FastAPI, Node.js, Next.js, PostgreSQL, Supabase, Redis, and cloud platforms like AWS and Vercel to build scalable and production ready AI systems.
custom AI agent using LangGraph and MCP, LangGraph AI agent developer, MCP integration expert
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Text-to-Speech, AI-Generated Art, AI-Generated Code, AI-Generated Video, AIOps, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
BERT, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$195
|
Standard
$495
|
Advanced
$995
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 18 days |
Number of Revisions | 1 | 2 | 4 |
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
+$75 - $250
Extra Tool/API Integration
(+ 2 Days)
+$100
MCP Server Integration
(+ 3 Days)
+$175
Cloud Deployment
(+ 2 Days)
+$150Frequently asked questions
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MA
Muhammad A.
Jul 30, 2026
Next.js Website Redesign & Content Management Dashboard (Fixed Price)
Working with Muhammad Faizan on the our website was an amazing experience. He completed the full-stack project using Next.js, Tailwind CSS, Drizzle, and PostgreSQL in just two days, and the final result exceeded my expectations.
I was especially impressed by his communication, professionalism,, and attention to detail. He understood the requirements clearly and delivered well-built website. I’m extremely happy with his work and highly recommend him!
I was especially impressed by his communication, professionalism,, and attention to detail. He understood the requirements clearly and delivered well-built website. I’m extremely happy with his work and highly recommend him!
About Muhammad
AI Agent Developer| LangGraph, MCP, RAG | Node.js & Next.js
Sargodha, Pakistan - 3:01 am local time
⭐ I build AI agents, RAG systems, and full stack AI applications that connect seamlessly with your documents, APIs, databases, and internal tools. My approach is centered on creating structured workflows where users can search information, get accurate answers, and automate tasks through a clean and intuitive interface.
✔ My expertise includes:
• AI Agent Development using LangGraph with multi step workflows, tool calling, and memory handling
• RAG Chatbots and Document AI with vector databases like Qdrant and pgvector for accurate knowledge retrieval
• MCP server development to connect AI assistants with APIs, databases, and business systems
• LLM integration using OpenAI, Claude, DeepSeek with structured outputs and prompt optimization
• Full stack AI applications using Node.js, Next.js, React with secure and scalable architecture
• AI powered search systems with embeddings, metadata filtering, and private data indexing
I work with modern tools and technologies including LangChain, LangGraph, Node.js, Next.js, React, PostgreSQL, MongoDB, Qdrant, Docker, and cloud platforms. I also implement advanced techniques like prompt engineering, retrieval optimization, agent orchestration, and AI workflow automation to ensure reliable and efficient performance.
Whether you need a complete AI product, a RAG pipeline, an AI agent, or integration into an existing system, I deliver solutions that are scalable, maintainable, and aligned with your business goals. My focus is always on building systems that are practical, efficient, and ready for real world use.
AI Agent Developer LangGraph MCP RAG Developer Node.js Next.js AI Chatbot Development LLM Integration OpenAI Claude DeepSeek Vector Database Qdrant pgvector AI Automation Full Stack AI Developer Prompt Engineering AI Workflow Automation AI SaaS Development Document AI Knowledge Base AI API Integration
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Review requirements and define the architecture
I review your goals, expected user flow, selected package, and required integrations. I then define the LangGraph workflow, agent state, tools, MCP connections, memory, application, database, and deployment structure.
Build the agent workflow and integrations
I implement the LangGraph nodes, routing logic, prompts, structured outputs, tool calling, and error handling. I also connect the agreed APIs, databases, business tools, or MCP servers.