You will get a custom MCP server connecting your data and tools to Claude
Top Rated
Project details
MCP (Model Context Protocol) is how Claude, Cursor, and other AI tools securely reach your company's data. I build custom MCP servers so your team's AI assistants can query your database, docs, CRM, or internal APIs — with proper auth and permission scoping, following Anthropic's spec. I work in the Claude ecosystem daily (Claude API, Claude Code, Agent SDK) and I'm a Top Rated engineer with 100% Job Success who ships production AI systems, not demos. You'll receive a tested MCP server, install instructions for your team's tools, and a handover walkthrough so everyone can use it from day one.
AI Development Type
Knowledge RepresentationAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$299
|
Standard
$599
|
Advanced
$999
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | - |
Model Documentation | - | - | |
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
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IM
Ivana M.
Feb 16, 2026
LLM Agent Developer
It was a pleasure working with this freelancer. Communication was smooth, deadlines were respected, and the overall collaboration was professional and efficient. I would definitely consider working together again in the future. Recommended!
RG
Romeo G.
Sep 28, 2025
React Native & Node.js App Fix and Finish
TA
Teemu A.
Sep 9, 2025
Claude AI Workspace & Multi-Agent Setup
job completed exactly as agreed
About Bilal
AI Engineer | LangGraph Multi-Agent Systems, RAG, Claude & MCP
100%
Job Success
Karachi, Pakistan - 5:18 am local time
Message me for a free 15-minute architecture review of your AI project.
Most AI products don't fail on ideas — they fail in production. Fragile chains, hallucinating chatbots, demos that collapse under real users. I build the version that survives: correct agent architecture, observability, and evals from day one.
WHAT I BUILD
• Multi-Agent Systems — LangGraph + Claude pipelines with routing, memory, and human-in-the-loop
• RAG Systems — accurate document Q&A over PDFs, SQL, and vector DBs (Pinecone, pgvector)
• MCP Servers — custom Model Context Protocol servers connecting your data and tools to Claude, Cursor, and agent workflows
• AI Automations — LLM pipelines wired into CRMs, email, and internal tools
• Full-Stack AI Products — Next.js/React frontends and FastAPI/Node backends around the AI core
RECENT HIGHLIGHTS
• Billing Guidelines Agent for law firms — LangGraph multi-agent system that cut manual processing time by 70%+
• Multi-agent RAG pipeline — query planning → hybrid retrieval → synthesis, running in production
• LinkedIn Smart Leads — full-stack outreach SaaS with automated lead scoring, built end to end
Certified Kubernetes Application Developer (CKAD) and DeepLearning.ai Certified Agentic AI Developer. 5+ years shipping software, the last several focused on LLM systems.
Got an AI project that needs to work in production, not just in a demo? Hit Invite and let's design the architecture together.
Skills: LangGraph, LangChain, RAG, Retrieval-Augmented Generation, Multi-Agent Systems, AI Agents, Claude, Anthropic API, MCP, Model Context Protocol, OpenAI API, LLM, Chatbot Development, Prompt Engineering, LLM Evaluation, LangSmith, FastAPI, Python, TypeScript, Node.js, NestJS, Next.js, React, React Native, Pinecone, pgvector, Vector Database, Semantic Search, Supabase, PostgreSQL, MongoDB, Docker, Kubernetes, CI/CD, AI Integration, API Development, SaaS, MVP Development, AI Automation, Workflow Automation
Steps for completing your project
After purchasing the project, send requirements so Bilal can start the project.
Delivery time starts when Bilal receives requirements from you.
Bilal works on your project following the steps below.
Revisions may occur after the delivery date.
Design & Tool Definition
I map your data sources and define the MCP tools and resources with the right permission scopes for your team.
Server Build & Testing
I build the MCP server following Anthropic's spec, wire up auth, and test every tool against your real data.