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You will get a production MCP server for Claude, RAG, and AI agents
Project details
I'll build you a production-ready Model Context Protocol (MCP) server that exposes your specific tools, resources, and prompts as native callable surfaces against Anthropic's Claude API. Schema-first definitions, async transport (stdio + HTTP/SSE), proper auth hooks, structured error handling, full test coverage, and a handoff video. I currently run live MCP servers for code-evaluation and synthetic market data — you get the same architecture, hardened to your use case.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$750
|
Standard
$1,500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 1 | 2 |
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 |
Frequently asked questions
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MD
Mike D.
Jun 14, 2026
DAS Trader Pro System Developer | Risk-Based Execution & Automated Trading Logic
Great!!!
AG
Andrew G.
Jun 3, 2026
Full-Stack Integrator for Cloudinary and Sanity CMS
Matthew is a highly creative and hard-working developer who excels in everything he works on. He delivered well ahead of the anticipated timeline with a high quality solution that is robust in both securty features, user experience, and performance. We would gladly hire Matthew again.
TR
Terry R.
May 22, 2026
Next.js admin tooling — confidence-banded curation UI (2-week fixed-price sprint)
Matt shipped EXACTLY what he was hired to build, a confidence-banded curation UI for our admin tooling. He stayed inside his lane, brought his own dev branch and mock seed data so he could iterate without touching production, and made the admin workflow genuinely usable.
He was incredibly easy to coordinate alongside other engineers working on different parts of the stack at the same time.
Hire him. Would absolutely work with him again.
He was incredibly easy to coordinate alongside other engineers working on different parts of the stack at the same time.
Hire him. Would absolutely work with him again.
at
adrien t.
May 22, 2026
Python Developer — Real-Time Event-Driven Trading Bot (API Polling + Blockchain Execution)
Over use of IA even for customer communication, under deliver on real live tests and not able to run proper live tests of the product he built
GH
Georges H.
Apr 20, 2026
30 minute consultation
Matthew is exceptional. Deep expertise across financial markets (prediction markets and crypto included) paired with the ability to explain it all clearly. He found weaknesses in my trading setup I hadn't fully understood myself and laid out exactly how to address them. He's a great thought partner, genuinely engaged in shaping improvements together, and equally comfortable advising at a high level or doing the hands-on work himself. And frankly his background speaks for itself. Highly recommend.
About Matthew
Trading Systems Engineer | Broker APIs, Market Data, Execution
85%
Job Success
Lake Forest, United States - 10:27 am local time
I help traders, funds, and technical founders build or repair systems where reliability, execution correctness, and data quality matter.
My background is in trading infrastructure and quantitative systems at GETCO, Geneva Trading, Auros Global, and Epoch Americas. That work required software that could be tested, monitored, explained, and trusted when real money and real operations were at stake.
Today I help traders, funds, founders, and operating teams build or repair systems where the failure mode is not “we need more code.” It is bad data, fragmented workflows, unreliable integrations, unclear ownership, weak controls, or no record of what actually happened.
Common projects:
• Trading bots and execution systems
• Broker and exchange API integrations
• TradingView automation
• Market-data pipelines
• Backtesting and strategy validation
• Risk controls, order-state tracking, and position reconciliation
• CRM / client-data workflows
• API integrations and workflow automation
• Internal tools, dashboards, and operational reporting
• Evidence-gated systems that separate what works today from what still needs to be built
Recent work includes automated execution systems, DAS Trader-style risk automation, async fill handling, pre-trade risk controls, market-data infrastructure, backtesting frameworks, client-data workflows, and production API/worker systems.
Relevant proof:
• Production trading engine: single-writer order registry, idempotent fill handling, stale-fill rejection, and non-blocking async execution
• Quant research/backtesting framework independently audited A− / 92/100
• Market-data/API platform with ~68.6K lines of code, 1,230+ tests, 13 shipped products, and 42 API endpoints
• Systems with clear testing, validation, documentation, and handoff boundaries.
I work best with clients who need a system that is understandable, testable, monitored, and safe to operate—not just something that runs once.
I do not sell strategies, promise returns, or provide investment advice. I build the infrastructure, tests, controls, documentation, and execution paths needed to evaluate and operate workflows more reliably.
Send me what you are building, which systems need to connect, where the workflow is breaking, and whether you already have code. I will tell you the cleanest path to test it, fix it, or get it into production.
Steps for completing your project
After purchasing the project, send requirements so Matthew can start the project.
Delivery time starts when Matthew receives requirements from you.
Matthew works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery: 24hr Window
I review your tool list, auth requirements, and 2-3 sample input/output pairs you provide. I send back a 1-page scope confirmation.
Schema design
Tool definitions in JSON Schema with input/output validation; resource and prompt registrations. Transport layer. Async server supporting both stdio and HTTP/SSE; structured logging on every request.