You will get MCP server so Claude, Cursor, and Codex can use your tools
Top Rated
Project details
⚡ You will get a production-grade MCP server giving Claude, Cursor, or Codex native access to your tools, APIs, and data — not brittle prompt-engineering glue that breaks every release.
🏆 Why this isn't a $200 commodity MCP:
✔ Top Rated Plus on Upwork — 14,640+ hours, $400K+ earned, 100% JSS
✔ Microsoft Certified AI Engineer · 20+ years full-stack
✔ Institutional Claude Code stack — 27 MCP tools, 8 hooks, custom git pipeline, eval harness in production
✔ Multi-client tested: Claude Desktop · Cursor · Codex
✔ Eval harness on Standard+
What you walk away with:
▸ Working MCP server (TypeScript or Python)
▸ Tool · resource · prompt definitions per spec
▸ Transport layer — stdio · SSE · HTTP per use case
▸ Client integration verified against Claude Desktop / Cursor / Codex
▸ README with install + config + troubleshooting
🎯 Who this is for:
Teams shipping production AI tooling. MCP is a 2025 Anthropic spec — most freelancers haven't shipped one yet. You get the difference between "I read the docs" and "I run this stack every day."
🏆 Why this isn't a $200 commodity MCP:
✔ Top Rated Plus on Upwork — 14,640+ hours, $400K+ earned, 100% JSS
✔ Microsoft Certified AI Engineer · 20+ years full-stack
✔ Institutional Claude Code stack — 27 MCP tools, 8 hooks, custom git pipeline, eval harness in production
✔ Multi-client tested: Claude Desktop · Cursor · Codex
✔ Eval harness on Standard+
What you walk away with:
▸ Working MCP server (TypeScript or Python)
▸ Tool · resource · prompt definitions per spec
▸ Transport layer — stdio · SSE · HTTP per use case
▸ Client integration verified against Claude Desktop / Cursor / Codex
▸ README with install + config + troubleshooting
🎯 Who this is for:
Teams shipping production AI tooling. MCP is a 2025 Anthropic spec — most freelancers haven't shipped one yet. You get the difference between "I read the docs" and "I run this stack every day."
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, Google AutoML, NVIDIA AI Platform, PyBrain, PyTorch, Sonnet, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 18 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | ||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100Frequently asked questions
25 reviews
(24)
(1)
(0)
(0)
(0)
This project doesn't have any reviews.
NB
Nishchal B.
Jun 17, 2026
Senior AI Full-Stack Developer (Python / AI Agents / Data Science)
Great job. We had to cancel the project for the time being, otherwise a fantastic capable dev.
SS
Szegedi S.
Oct 1, 2025
AI Chatbot Developer
Roman did an amazing job for us, he implemented multiple systems for us and we are more than happy with the results.
RM
Ryan M.
Mar 10, 2025
Experienced Laravel Developer for Ecommerce SaaS (+Livewire)
Thanks for being a part of our build team, Roman! Roman is highly communicative, always keeping us up to date with his progress. He works hard and was a good contributor to our team.
IS
Ian S.
Nov 12, 2024
App Updates
I’ve worked with Roman for several years, and he’s consistently reliable and skilled in his work. He communicates clearly and adapts well to feedback. His attention to detail and commitment to delivering quality work have been a great help on my projects. I would recommend Roman to others looking for a dependable professional.
DT
Dofo T.
Jan 17, 2024
Angular4 Frontend Web Developer
About Roman
Senior AI Engineer | Full-Stack, Claude, Python, API, Auto, Agents/LLM
100%
Job Success
Surat Thani, Thailand - 8:14 am local time
I build production systems for SaaS, fintech, healthcare, and enterprise — across Python, JavaScript, TypeScript, Node.js, FastAPI, Laravel, React, Next.js. Systems that ship and stay shipped — not demos that stall.
🌍 Industries: SaaS · Fintech · Healthcare · E-commerce · Crypto · Enterprise
✦ Full-Stack Development — end-to-end SaaS & enterprise platforms
✦ AI Integration — Claude · GPT · Gemini · LangChain · LangGraph · MCP
✦ Machine Learning — classification, embeddings, NLP, fine-tuning, Whisper
✦ AI Chatbot Development — multi-agent, voice agents, RAG-grounded
✦ Scripting & Automation — n8n · Zapier · Make · ETL · Workflow Automation
✦ Back-End Development — FastAPI · microservices · API Integration · Kafka
✦ Front-End Development — React · Next.js · TypeScript · embeddable widgets
🏆 Why clients choose me:
✔ 29 jobs delivered · 14,640 hours · 4.9★ (32 reviews)
✔ 100% Job Success Score on Upwork
✔ Production systems clients run for years
✔ Long-term partnership mindset, fast async communication
● My dev stack: Claude Code, Cursor, Codex, Gas Town, multi-agent orchestration tooling.
🎯 Who this is for:
Founders and teams investing in production AI. You want someone who ships, supports, and iterates. Long-term partnerships welcomed.
🎯 Who this isn't for:
"Just plug AI into our broken workflow." Quick fixes. Legacy cleanup. If lowest rate is the deciding factor, I'm not the right fit.
👉 Message me to discuss your project — or invite me directly.
What I've shipped recently:
▸ Multi-agent AI platform powered by Claude: 6 sub-agents, 36 tools, 3 frontends (Slack, React, website widget) for a UK e-commerce company with Knowledge Base
▸ Callstack — multi-tenant AI voice + chat agent in production: Twilio (PSTN/SMS), Azure Voice Live, LangChain ReAct, μ-law/PCM16 codec bridge, MongoDB checkpointing, multi-tenant routing
▸ Speech-to-text pipeline: ~1,000 calls/day, 8 AI analysis stages, auto-classification, lead scoring, CRM sync, Speech-to-Text via Whisper
▸ Real-time email pipeline: event-driven (Kafka), AI classification, auto-draft generation, 42-label Gmail taxonomy
▸ Microsoft 365 + Azure AI platform: Graph API, Service Bus + KEDA, Cosmos DB, Azure AI Search RAG, Copilot Studio, Fabric analytics, Bicep IaC
▸ Signals — AI-agentic crypto trading SaaS: Telegram bot, multi-source AI consensus, Web3/TON payments, RAG knowledge base, Hyperliquid auto-execution
Also experienced with:
▪ AI & LLM: LangGraph, LangChain, LangSmith, OpenAI, ChatGPT, Claude, Gemini, Llama, Mistral, DeepSeek, Grok, OpenRouter, Fine-tuning, embeddings, HuggingFace, Python, FastAPI, Streamlit, Structured Outputs, Classification, Clustering, Prompt Engineering, NLP, Whisper, Speech-to-Text
▪ RAG: Knowledge Base, Pinecone, FAISS, Chroma, Qdrant, Azure AI Search, Semantic Search, Vector Database
▪ Agents: DeepAgents, ReAct, Human-in-the-Loop, Multi-Agents, AI Chatbot, AI Agent, MCP
▪ Microsoft & Enterprise: Microsoft Graph, Copilot Studio, Azure AI Search, Azure Service Bus, KEDA, Cosmos DB, Logic Apps, Microsoft Fabric, Power BI, Bicep IaC, Entra ID / MSAL
▪ Automation & Integrations: Twilio, HubSpot CRM, Monday, Slack, Gmail API, GCP Pub/Sub, n8n, Zapier, Make, Telegram Bot API & MiniApps, ETL pipelines, Process automation, API Integration, Intelligent automation, Data Extraction, Workflow Automation
▪ Cloud & Infrastructure: AWS (S3, Athena, EC2, RDS), Azure (App Service, Container Apps, Key Vault), GCP, Docker, Kubernetes, PostgreSQL, MongoDB, Redis, Neo4j, RedPanda/Kafka, Avro, GitHub Actions CI/CD, OpenTelemetry, BetterStack, Langfuse, Supabase
▪ Full-Stack: React, Next.js, TypeScript, REST/GraphQL APIs, Stripe, TON blockchain payments
▪ Open source: Creator of Panes — 1K+ GitHub stars, 600K+ downloads.
Steps for completing your project
After purchasing the project, send requirements so Roman can start the project.
Delivery time starts when Roman receives requirements from you.
Roman works on your project following the steps below.
Revisions may occur after the delivery date.
Scope alignment + tool list confirmation
30-min review of your tool list, AI client target, and transport choice. Confirm scope fits the chosen tier and lock in the tool definitions before building begins.
MCP server + tool definitions built
Implement the MCP server (TypeScript or Python), wire each tool / resource / prompt per spec, set up the transport layer. Daily progress updates on Upwork chat.