You will get Private AI Agents with MCP | Secure, Scalable & Integrated Automation
Project details
With over 10 years of experience building technological solutions for global leaders like Pernod Ricard, Stellantis, Nestlé, and fast-growing innovators, I specialize in creating self-hosted AI agents that integrate directly with your business systems through the Model Context Protocol (MCP).
What sets this project apart is the ability to deliver enterprise-grade AI without compromising data privacy. Your smart agent operates entirely within your infrastructure, connecting to the tools you need — whether that’s Google Analytics, CRMs, Search Console, or back-office systems.
Our clients use MCP-powered agents for intelligent document analysis, automated report generation, and conversational interfaces for legacy platforms. One client now asks “What drove last quarter’s sales?” or “Send me the performance report” — and the agent delivers instant, compliant insights.
This means you gain data sovereignty, operational independence, and scalable AI capabilities that grow with your business — all while reducing reliance on external vendors.
What sets this project apart is the ability to deliver enterprise-grade AI without compromising data privacy. Your smart agent operates entirely within your infrastructure, connecting to the tools you need — whether that’s Google Analytics, CRMs, Search Console, or back-office systems.
Our clients use MCP-powered agents for intelligent document analysis, automated report generation, and conversational interfaces for legacy platforms. One client now asks “What drove last quarter’s sales?” or “Send me the performance report” — and the agent delivers instant, compliant insights.
This means you gain data sovereignty, operational independence, and scalable AI capabilities that grow with your business — all while reducing reliance on external vendors.
Programming Languages
Python, Java, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$2,000
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 2 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Agents
(+ 2 Days)
+$400Frequently asked questions
About Lucas
AI Solutions for Brands That Demand Privacy, Performance & Precision
Mexico City, Mexico - 6:38 pm local time
From the beginning, our mission has been clear: to bring tech with heart to brands navigating digital transformation. That same vision drives our work today, building Conversational AI systems, private AI infrastructure, and data-powered smart agents for clients ranging from startups to global leaders like Pernod Ricard, Stellantis, and Nestlé.
What We Specialize In
I. AI-Based Chatbots & Virtual Assistants
→ Built with GPT architecture, tailored for lead capture, customer support, CRM workflows, and any interaction logic you envision
→ Multichannel integrations: Web, WhatsApp, Instagram, Messenger, internal tools
Ex: We developed an AI assistant for Geely Automotive to qualify leads, arrange test drives, and sync data directly to their CRM, all through WhatsApp and Instagram, deployed across LATAM.
II. Private LLM Infrastructure
→ Fully self-hosted, open-source AI stacks: no vendor lock-in, no black-box models
→ Architected for enterprise-grade compliance (GDPR, AI Act, AIDA) and full data sovereignty
→ Enables internal, custom-tuned language models built securely around your data
Ex: For clients in regulated industries, we’ve deployed sovereign LLM environments that keep sensitive data on-prem while delivering the benefits of generative AI: from document summarization to policy Q&A and team-wide automation.
III. MCP Protocols & Smart Agents
→ We build smart AI agents that connect to your existing stack (GA4, CRMs, back office) via MCP protocols
→ These agents search, interpret, take action, and orchestrate tasks; not just analytics
→ No data migration required: works over your live systems with full contextual logic
Ex: We built a Conversational Analytics agent linking Google Analytics, Search Console, and a client's sales backend. Their team now asks:
→ “What drove Q2 traffic spikes?”
→ “How did mobile traffic affect cart abandonment?”
→ “What’s the trend between search visibility and revenue?”
— and the agent replies in plain language, with text, visuals, or structured data. No dashboards. No analysts. Just actionable insight.
With team hubs in France, Switzerland, Belgium, Mexico, and Morocco, we’ve supported product launches, growth strategies, and innovation labs across three continents.
We’re strategists, engineers, marketers, and UX thinkers, united by the belief that AI should be:
→ Built around your workflows
→ Compliant with your data governance
→ Designed for real-world outcomes
Whether you're launching your first AI bot or scaling a private LLM for your ops team; let’s make something powerful together, feel free to reach out to explain me your ideas.
Steps for completing your project
After purchasing the project, send requirements so Lucas can start the project.
Delivery time starts when Lucas receives requirements from you.
Lucas works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & Requirements
Define project goals, tools to connect (e.g., GA, CRM, APIs), and compliance constraints.
Agent & Architecture Design
Plan the LLM environment, MCP connections, and workflows tailored to your data.