You will get ai agents using langgraph, mcp servers, and n8n automation
Project details
Agentic AI that doesnt just chat it takes actions.
I build AI agents that plan tasks, call tools, automate workflow, and integrate with business systems using LangGraph, LangSmith, MCP servers, and n8n automation.
What I can build for you:
AI agents with tool calling and function calling
LangGraph agents for reliable multi-step orchestration
crewAI multi-agent teams for collaborative task execution
n8n workflow automation as a Make or Zapier alternative
Custom MCP servers for Claude or ChatGPT agents
RAG powered agents using Pinecone, FAISS, or Chroma
Secure API integrations using REST, webhooks, and OAuth
Business automation for CRM, lead generation, and support
Examples include email agents that extract data and update Google Sheets or CRMs, lead generation agents syncing Airtable or HubSpot with Slack alerts, support agents using RAG to create tickets and draft replies, and AI receptionist or voice agent workflows.
Tech stack includes LangGraph, LangSmith, MCP, n8n, Python, Node.js, APIs, webhooks, vector databases, RAG, and deployment.
You receive a working agent or workflow, clear setup instructions, clean structure, and post-delivery support. Message me before ordering.
I build AI agents that plan tasks, call tools, automate workflow, and integrate with business systems using LangGraph, LangSmith, MCP servers, and n8n automation.
What I can build for you:
AI agents with tool calling and function calling
LangGraph agents for reliable multi-step orchestration
crewAI multi-agent teams for collaborative task execution
n8n workflow automation as a Make or Zapier alternative
Custom MCP servers for Claude or ChatGPT agents
RAG powered agents using Pinecone, FAISS, or Chroma
Secure API integrations using REST, webhooks, and OAuth
Business automation for CRM, lead generation, and support
Examples include email agents that extract data and update Google Sheets or CRMs, lead generation agents syncing Airtable or HubSpot with Slack alerts, support agents using RAG to create tickets and draft replies, and AI receptionist or voice agent workflows.
Tech stack includes LangGraph, LangSmith, MCP, n8n, Python, Node.js, APIs, webhooks, vector databases, RAG, and deployment.
You receive a working agent or workflow, clear setup instructions, clean structure, and post-delivery support. Message me before ordering.
AI Algorithms
Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Linear Discriminant Analysis, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Variational AutoencoderAI Applications
AI Chatbot, AI Text-to-Image, AI-Enhanced Medical Imaging, Anomaly Detection, Facial Recognition, Image Recognition, Natural Language Understanding, Neural Machine Translation, Object Detection, Sentiment Analysis, Sequence Modeling, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Gradio, Hugging Face, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, Jurassic-2, LLaMA, Midjourney AI, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$100
|
Standard
$150
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 3 | 5 | 7 |
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 |
Frequently asked questions
About Muhammad
Chatbot Developer | AI Agents | n8n Automation | MCP Servers
Shadan Lund, Pakistan - 7:26 pm local time
I’m Muhammad Ali, a Chatbot Developer, AI Engineer, and Automation Specialist helping businesses build intelligent chatbots, AI agents, and automated workflows that save time and scale operations.
I specialize in LangChain, LangGraph, LlamaIndex, OpenAI, Gemini, vector databases, n8n automation, APIs, and MCP servers to deliver reliable, production-ready AI solutions.
What I Do
Chatbots & AI Agents
Custom AI chatbots using ChatGPT, Gemini, and Claude
Agentic AI systems built with LangChain and LangGraph
Memory-enabled assistants powered by vector databases
Tool-calling and multi-step AI workflows for real business use cases
RAG & Knowledge Assistants
Chatbots connected to documents, PDFs, websites, and databases
Semantic search using Pinecone, Weaviate, FAISS, ChromaDB, and Milvus
Scalable Retrieval-Augmented Generation (RAG) solutions
Automation & MCP Servers
n8n workflow automation with APIs and webhooks
AI-powered business process automation
MCP server setup and custom AI tool integrations
Tech Stack
LangChain, LangGraph, LlamaIndex, OpenAI, Gemini, Hugging Face
n8n, REST APIs, Webhooks
Docker, AWS, GCP, Azure
Pinecone, Weaviate, FAISS, ChromaDB, Milvus
Why Work With Me
Clean, scalable, production-ready solutions
Clear communication and on-time delivery
Secure and well-documented AI systems
Long-term support available
If you need a chatbot, AI agent, RAG system, or automation workflow, I will deliver a solution that is efficient, reliable, and tailored to your business needs.
Muhammad Ali
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.
Requirements & Access Collection
Client purchases the project and provides workflow details, tools to integrate, and required access (APIs, credentials, etc.).
Solution Design & Planning
I analyze the requirements and design the AI agent or automation workflow (logic, integrations, and deployment plan).