You will get a production-ready MCP/СLI server for your API, database or internal tools
Project details
I build MCP (Model Context Protocol) servers that let Claude, Cursor, Cline and any MCP-capable agent work with your systems directly — your API, your database, your internal tools — instead of guessing from pasted snippets.
I run an MCP platform of my own in production: six tool domains over a single server, used daily against real repositories. You get that engineering, applied to your stack.
How it works:
1. Discovery call — we map which operations your agents actually need, and which must stay read-only.
2. I design the tool surface: names, arguments, output shape, token budget per response.
3. Implementation in TypeScript or Rust, with auth, error handling and rate limits.
4. You get the server, the config snippet for your MCP host, and a short walkthrough.
FAQ
Q: Which clients does it work with? A: Any MCP host — Claude Code, Claude Desktop, Cursor, Cline, or your own SDK consumer.
Q: Can it run against production data? A: Yes. Read-only by default; write operations are explicit, scoped and audited.
Q: Do I own the code? A: Yes, full ownership on delivery.
Q: Not sure about scope? A: Message me first — I will tell you which tier fits, or that you do not need me.
I run an MCP platform of my own in production: six tool domains over a single server, used daily against real repositories. You get that engineering, applied to your stack.
How it works:
1. Discovery call — we map which operations your agents actually need, and which must stay read-only.
2. I design the tool surface: names, arguments, output shape, token budget per response.
3. Implementation in TypeScript or Rust, with auth, error handling and rate limits.
4. You get the server, the config snippet for your MCP host, and a short walkthrough.
FAQ
Q: Which clients does it work with? A: Any MCP host — Claude Code, Claude Desktop, Cursor, Cline, or your own SDK consumer.
Q: Can it run against production data? A: Yes. Read-only by default; write operations are explicit, scoped and audited.
Q: Do I own the code? A: Yes, full ownership on delivery.
Q: Not sure about scope? A: Message me first — I will tell you which tier fits, or that you do not need me.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceWhat's included
| Service Tiers |
Starter
$1,200
|
Standard
$3,500
|
Advanced
$7,500
|
|---|---|---|---|
| Delivery Time | 5 days | 12 days | 21 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
+$400 - $2,500
Second transport (HTTP/SSE)
(+ 3 Days)
+$600Frequently asked questions
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JL
Jue L.
Jan 23, 2025
Presale Widget
Aleksandr is the best developer you'll ever higher. He's incredible at what he does and gets things done quickly and perfectly. You won't regret this hire.
LV
Leonid V.
Sep 28, 2024
Ethereum Node Installation Expert Needed ASAP
I had a great experience working with Alex. He was professional, communicated clearly, and kept me updated throughout the project. He delivered the work on time and exceeded my expectations with the quality and attention to detail. I’m really pleased with the results and would be happy to work with him again in the future.
MJ
Mariusz J.
Sep 24, 2024
Meme Coin Development. Smart Contracts: Presale...
Everything prepared, great communication, very fast work, excellent documentation, well explained and advised in everythong.
MJ
Mariusz J.
Sep 6, 2024
Consultation on smart contracts, Upgradeable .
Great communication, excellent work, everything in time, with excellent quality.
About Aleksandr
AI agents infra / MCP / RAG / multi-agent memory / orchestration
100%
Job Success
Abu Dhabi, United Arab Emirates - 6:34 am local time
I architect and ship production systems: websites, platforms, Telegram bots, integrations. 13 years of engineering, 50+ projects shipped, clients in 12+ countries.
What's different is how I build now. I don't "use ChatGPT": I orchestrate a fleet of AI agents across multiple models and build their tooling myself - RAG over the codebase, memory of past decisions, architecture-aware navigation. My agents don't guess, and don't break what already works.
What I build for clients, I built for myself first and run on it daily. For you that's startup speed at production quality.
• AI agents - agentic systems, orchestration, MCP integrations
• RAG - semantic search over your data, code, documentation
• B2B SaaS - architecture, turnkey builds, CTO-as-a-service
• Automation - Telegram bots, mini apps, internal tooling
• Full-stack - TypeScript, Next.js, Node.js, Mongo/Postgres
• Web3 (8+ years) - Solidity, DeFi, NFT
Steps for completing your project
After purchasing the project, send requirements so Aleksandr can start the project.
Delivery time starts when Aleksandr receives requirements from you.
Aleksandr works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery call
Discovery call — we map which operations your agents actually need, and which must stay read-only.
I design the tool surface
I design the tool surface: names, arguments, output shape, token budget per response.