You will get a custom MCP server for your AI agent — Claude, APIs & live business data
Rising Talent

Project details
Your AI agent is only as useful as the data it can reach. An MCP server gives it live, secure access to your APIs, tools, and business data, so it acts on real information instead of guessing.
I build custom MCP (Model Context Protocol) servers that connect Claude, Cursor, or your own agent to the systems you actually use: internal APIs, databases, SaaS tools, or live data feeds.
What you get:
• A custom MCP server that exposes your API or data as clean agent tools
• Secure auth and proper error handling
• Tested against a real AI client, not just in theory
• Deployed and ready to use, with setup docs
• Full source code, owned by you
Proof over promises: I have 3 open-source MCP servers on GitHub (security audits, scholarly papers, live news), so you can see how I build before you hire.
Your data stays yours: the server runs on your infrastructure and under your own keys.
My stack: Python, FastAPI, the official MCP SDK, Docker. Fully async, with a short screen-recording walkthrough of every delivery. I am earning my first reviews here, so you get my full attention.
Tell me which API or data source your agent needs, and I will tell you exactly what is possible.
I build custom MCP (Model Context Protocol) servers that connect Claude, Cursor, or your own agent to the systems you actually use: internal APIs, databases, SaaS tools, or live data feeds.
What you get:
• A custom MCP server that exposes your API or data as clean agent tools
• Secure auth and proper error handling
• Tested against a real AI client, not just in theory
• Deployed and ready to use, with setup docs
• Full source code, owned by you
Proof over promises: I have 3 open-source MCP servers on GitHub (security audits, scholarly papers, live news), so you can see how I build before you hire.
Your data stays yours: the server runs on your infrastructure and under your own keys.
My stack: Python, FastAPI, the official MCP SDK, Docker. Fully async, with a short screen-recording walkthrough of every delivery. I am earning my first reviews here, so you get my full attention.
Tell me which API or data source your agent needs, and I will tell you exactly what is possible.
AI Development Type
Knowledge RepresentationAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$129
|
Standard
$349
|
Advanced
$899
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 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.
Fast Delivery
+$80 - $200
Additional Revision
+$40
Additional Data Source
(+ 2 Days)
+$120
Deployment & Hosting Setup
(+ 3 Days)
+$150Frequently asked questions
About Armen
AI Chatbot & RAG Developer | MCP Servers, AI Agents | Python & Claude
Bornheim, Germany - 11:03 am local time
What I've shipped:
- 4 apps published on the Apple App Store (Flutter and Swift/SwiftUI), including AI-powered image and music generation apps.
- A production trading system powered by Claude AI agents, processing live market data with Python, FastAPI, PostgreSQL, Redis, and Docker.
- 3 open-source MCP servers on GitHub (security audits, scholarly papers, live news feeds) that connect Claude to real APIs and live business data. This is a rare, code-verifiable proof almost no freelancer can show.
- Google AI Professional Certificate.
What you get when you hire me:
- AI chatbots and virtual assistants on the Claude and OpenAI APIs, with custom agent orchestration.
- RAG pipelines with document ingestion, vector search, and answers that cite their sources, so your users can trust them.
- Custom MCP servers that give your AI agent live access to your tools, APIs, and data.
- Python backends, REST APIs, and AI-powered iOS, macOS, and cross-platform mobile apps.
How I work: fast, async, and clear. I deliver in tight scoped milestones with a short screen-recording walkthrough of every deliverable, so you always see exactly what was built without a meeting. Your data stays yours: no training on client data, grounding at test time only.
Tools: Python, FastAPI, PostgreSQL, Redis, Docker, Claude API, OpenAI/ChatGPT API, LangChain, RAG, vector search, MCP, n8n automation, Next.js, TypeScript, Flutter, Swift/SwiftUI.
I'm building my first reviews on Upwork, so you'll get my full attention and over-delivery on the first project. If you're working on an AI chatbot, RAG system, MCP server, or automation, send me the brief and I'm happy to answer any questions you may have.
Steps for completing your project
After purchasing the project, send requirements so Armen can start the project.
Delivery time starts when Armen receives requirements from you.
Armen works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery
We discuss your data sources, AI tools, and goals. I ask targeted questions to understand exactly what your AI needs to access and how
Architecture
I design the MCP server structure — transport protocol, tools, resources, auth model, and data schema. You review and approve before I code