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I will build a secure ai agent with tools, workflows and mcp
Asad Rafique
À propos de ce service
I will build a secure AI agent that can understand requests and use explicitly approved tools to retrieve information or perform controlled business actions.
Suitable use cases include reporting assistants, booking copilots, support agents, CRM assistants, order workflows and internal operations. I can expose approved application capabilities through an MCP server or connect other platforms through APIs and webhooks.
The implementation can include:
- Structured tool calling
- Controlled application tools and service actions
- MCP tools, resources and prompts
- Authentication and authorization
- Read-only and mutation tool separation
- Human approval for sensitive actions
- Validation, step limits and error handling
- Audit logs and execution history
I do not give an AI model unrestricted database or server access. Every capability is scoped around your existing permissions and business rules. For Laravel applications, I can connect tools directly with existing services, permissions, queues and business logic. Message me with the required actions and current architecture before ordering.
Découvrez Asad Rafique
Asad Rafique
Senior Laravel and AI Automation Engineer n8n APIs SaaS
- DePakistan
- Membre depuisnov. 2012
- Temps de réponse moy.1 heure
- Dernière commande9 mois
Langues
Ourdou, Punjabi, Anglais, Hindi
Senior Laravel Developer & AI Automation Engineer with 9+ years of experience building SaaS platforms, APIs, dashboards, eCommerce systems, POS solutions, and business automation workflows. I help businesses automate operations using Laravel, n8n, AI agents, APIs, webhooks, queues, and cloud infrastructure. Experienced with WooCommerce, Shopify, Stripe, Cloudflare, VPS, CI/CD, and production-ready systems.
Mon portfolio
FAQ
What is an AI agent in this service?
It is an AI-powered application that can interpret a request and call specific approved tools. Your application services remain responsible for validation, permissions and business rules.
What is MCP?
Model Context Protocol is a standard that lets compatible AI clients discover and use approved tools, resources and prompts exposed by a server. I can build an MCP layer around suitable application capabilities.
Can the agent update or delete records?
It can perform approved mutation actions when the scope includes authorization, confirmation, validation and audit logging. High-risk actions should require explicit human approval.
Will you give the model direct database access?
No. I use controlled application tools and existing service logic. Direct unrestricted access would create avoidable security and data-integrity risks.
Can you connect the agent with OpenAI or Claude?
Yes, depending on the agreed architecture and provider requirements. Model/API fees are paid directly by the client.
