You will get mcp servers to connect your ai agents to any tool or data
Project details
Your AI agent is stuck in a sandbox it can't access your CRM, database, or internal tools.
I build custom MCP servers that connect your AI to everything it needs, so your agents actually DO things instead of just talking.
I've built multi-agent orchestration systems processing 1,285+ enterprise documents with sub-1ms retrieval for banking clients. MCP (Model Context Protocol) is how I connect these AI systems to real-world business tools securely.
What I deliver:
Custom MCP server for your specific tools and APIs
AI agent integration (Claude, ChatGPT, open-source LLMs)
Database connectors (SQL, MongoDB, FAISS, ChromaDB)
CRM, Slack, Notion, Shopify, or any API bridge
Secure deployment with auth and access controls
Use cases: Customer support automation, internal knowledge bases, sales pipelines, compliance systems, data analytics agents.
My process:
Map your tools and define agent capabilities
Build and test MCP server
Connect, deploy, and document
Post-launch support
Message me your use case I reply within 2 hours.
I build custom MCP servers that connect your AI to everything it needs, so your agents actually DO things instead of just talking.
I've built multi-agent orchestration systems processing 1,285+ enterprise documents with sub-1ms retrieval for banking clients. MCP (Model Context Protocol) is how I connect these AI systems to real-world business tools securely.
What I deliver:
Custom MCP server for your specific tools and APIs
AI agent integration (Claude, ChatGPT, open-source LLMs)
Database connectors (SQL, MongoDB, FAISS, ChromaDB)
CRM, Slack, Notion, Shopify, or any API bridge
Secure deployment with auth and access controls
Use cases: Customer support automation, internal knowledge bases, sales pipelines, compliance systems, data analytics agents.
My process:
Map your tools and define agent capabilities
Build and test MCP server
Connect, deploy, and document
Post-launch support
Message me your use case I reply within 2 hours.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
Conversational AIAI Development Language
PythonAI Tools
Hugging Face, PyTorchAI Models
ChatGPT, GPT-3, GPT-4, GPT-Neo, LLaMAWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 3 | 4 | 5 |
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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MH
Mubashir H.
Apr 6, 2026
AI Chatbot Developer for Voice-Enabled Assistant
Honestly one of the best freelancers I've worked with. I had a rough idea of what I wanted and Atta turned it into a fully working product. The chatbot answers from my documents perfectly and the voice feature is a nice touch. Very professional, responsive, and knows his stuff. Highly recommend!
About Atta
AI Chatbot Developer | RAG Expert | AI Voice Agents | LangChain
Haripur, Pakistan - 4:15 pm local time
5+ years in AI/ML. MS in Artificial Intelligence (NUST). I architect production AI systems for enterprise clients in regulated industries. Every solution survives real-world production pressure — not just a demo call.
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✅ What I Build
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▸ Custom AI Chatbots — Trained on your docs, website, or database. For customer support, sales, lead capture, or internal ops. Not a ChatGPT wrapper — a production system with guardrails, fallback logic, context memory, and real accuracy. Built to handle thousands of queries without breaking or hallucinating.
▸ RAG Systems — Your chatbot pulls verified answers from PDFs, knowledge bases, and internal documents instead of making things up. I architect retrieval pipelines handling compliance-grade document volumes with sub-millisecond query latency. 50 pages or 50,000 — built to scale.
▸ AI Voice Agents — End-to-end STT/TTS pipelines with under 200ms response time. Inbound calls, appointment booking, lead generation, customer service — natural-sounding, not robotic. Built on Vapi.ai, ElevenLabs, Whisper, Deepgram.
▸ Multi-Agent AI Systems — Intelligent orchestrators routing user intents to specialized sub-agents. 3+ domain-specific agents collaborate. Deployable on fully local infrastructure for 100% data privacy.
▸ Full-Stack AI Products — End-to-end delivery: LLM logic, FastAPI backend, frontend, cloud deployment. One person instead of three freelancers.
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✅ Why Clients Choose Me
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▸ Enterprise AI, not hobby projects — I architect production AI for regulated-industry clients daily. Real users, real edge cases, real compliance.
▸ Production-grade, not demo-grade — My chatbots don't just work in a screen recording. They go live and keep working months later.
▸ True end-to-end delivery — Architecture, LLM selection, prompt engineering, backend, frontend, testing, deployment, post-launch support. One invoice, zero coordination headaches.
▸ Academic rigor (MS in AI, NUST) — I diagnose hallucination, retrieval, and latency at root cause — embedding model, chunking strategy, retrieval logic — not band-aid prompts.
▸ Built for regulated industries — Fully local LLM infrastructure (Llama 3.1 + FAISS) where data never leaves the client's servers. Fintech, healthcare, legal, compliance.
▸ Fast, clear communication — Response within hours.
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✅ Featured Projects
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▸ Faith-Based Finance Multi-Agent Assistant — Supervisor agent routing intents to 3 domain-specific sub-agents. Fully local infrastructure (Llama 3.1 + FAISS). Zero data leaves the server.
▸ Real-Time Conversational Voice Agent — <200ms response, dynamic tone and prosody. Handles inbound calls, appointment booking, lead qualification autonomously. Built on Vapi. ai.
▸ Compliance Document Analyzer — Processes thousands of policy and regulatory documents using Docling and ChromaDB. Sub-millisecond query latency.
▸ DataChat (Generative BI Platform) — Natural-language analytics over CSV, Excel, PDF. No SQL, no dashboards — ask, get the answer with auto-generated visualizations.
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✅ Tech Stack
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▸ LLMs: OpenAI GPT-4o, Claude, Llama 3.1, LangChain, LangGraph, CrewAI, Hugging Face, LoRA/QLoRA Fine-tuning
▸ RAG & Vector DBs: FAISS, ChromaDB, Pinecone, Qdrant, Docling, Hybrid Search
▸ Voice AI: Vapi.ai, ElevenLabs, Whisper, Deepgram, Real-time STT/TTS
▸ Backend: Python, FastAPI, Flask, REST APIs, PostgreSQL, Redis, Docker
▸ Automation: n8n, Zapier, Make, Twilio, WhatsApp Business API
▸ Deployment: AWS, GCP, Docker, Nginx, Ollama (Local LLM)
▸ MCP & Agentic: Model Context Protocol, A2A, Multi-Agent Orchestration
Ready to build? Message me with your project details — I'll respond within hours with an honest assessment of fit, plan, timeline, and deliverables.
🔍 Keywords: AI Chatbot Developer, AI Engineer, RAG Developer, LangChain, LangGraph, AI Agent Developer, Multi-Agent Systems, Agentic AI, OpenAI GPT-4, Claude API, LLM Fine-tuning, LoRA, QLoRA, FAISS, Pinecone, ChromaDB, Qdrant, Voice AI, Conversational AI, FastAPI, Python AI Developer, Generative AI, RAG Pipeline, Document AI, Custom GPT, AI Assistant, Enterprise AI, Fintech AI, MCP Server, AI Consultant, ChatGPT Developer, NLP, Prompt Engineering, AI SaaS, n8n, Whisper, ElevenLabs, Vapi, Llama 3, Ollama, AI Integration, Chatbot Development, AI Voice Agent, AI Workflow Automation
Steps for completing your project
After purchasing the project, send requirements so Atta can start the project.
Delivery time starts when Atta receives requirements from you.
Atta works on your project following the steps below.
Revisions may occur after the delivery date.
testing
client test things