You will get a custom MCP server for Claude, Claude Code and AI agent integration
Rising Talent
Rising Talent
Project details
You will get a custom Model Context Protocol (MCP) server that gives your AI agents real capabilities, not just chat. I connect Claude, Claude Code or ChatGPT to your tools, APIs and data so your agents take real actions: query your systems, trigger workflows, and return clean structured results. Built by an operator who has shipped 17 MCP servers, several of them running in production rather than sitting in a demo repo. Secure, documented, and fully owned by you. I work async and in writing, so you get plain-English progress updates, a written handover your engineers can extend without me, and a made-to-work guarantee.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Generated Art, AI-Generated Code, AI-Generated Video, Conversational AI, Image Analysis, Image Upscaling, Natural Language UnderstandingAI Development Language
PythonAI Tools
GitHub Copilot, Microsoft 365 Copilot, ReplitAI Models
ChatGPT, GPT-4, OpenAI CodexWhat's included
| Service Tiers |
Starter
$900
|
Standard
$2,500
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 35 days |
Number of Revisions | 1 | 2 | 3 |
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
About Elisabeth
Claude Code & AI Automation | Agents, MCP & Team Training
Miami, United States - 2:06 am local time
I design, build, and teach Claude Code workflows, reusable skills, MCP integrations, and practical AI agents—then document them so adoption does not depend on one person.
What I deliver:
• Agent and MCP architectures with clear specialist boundaries, tool contracts, state, guardrails, observability, evaluation, and human escalation
• Claude Code environments, custom skills, plugins, and team playbooks
• RAG assistants, AI chatbots, and knowledge workflows grounded in your approved business data
• CRM, lead-response, document, and operations automations using APIs, n8n, Make, Zapier, and GoHighLevel
• Team training that leaves working artifacts, not a slide deck
My approach is practical: map the business outcome, build the smallest reliable system, test it against real cases, and hand over clear operating documentation. For MCP work, that means secure tool access, structured inputs and outputs, failure paths, logs, and explicit approval points—not a demo that breaks in production.
I bring a builder's mindset and a commercial background to AI work, so the focus stays on outcomes: less manual work, faster follow-up, safer operations, and systems people actually use.
If you have an AI workflow that needs to be designed, repaired, operationalized, or taught to a team, send the context and current stack. I’ll recommend a practical path forward.
Steps for completing your project
After purchasing the project, send requirements so Elisabeth can start the project.
Delivery time starts when Elisabeth receives requirements from you.
Elisabeth works on your project following the steps below.
Revisions may occur after the delivery date.
Scope and tool design
We confirm the systems, APIs, and data to connect, plus auth and the exact actions your agents need. I design the MCP tool set and the delivery plan.