I will build ai agents with tool use and mcp integration


About this gig
An agent that works in a demo and an agent you'd let touch production data are different systems. The gap is guardrails, permissions, failure handling and cost control engineering, not prompting.
What I build:
- Agents with tool and function calling, scoped to what they should actually be allowed to do.
- Custom MCP servers connecting agents to your own data, APIs and internal tools.
- Multi-step workflows where the agent plans and executes rather than answering one prompt.
- Token ceilings and cost monitoring, because autonomous loops are how bills escalate.
Why me: I've shipped agents in production and built MCP servers, and I've spent 8+ years as a software engineer across fintech, healthcare and e-commerce. That matters here more than in most AI work an agent with tool access is a program with real permissions, and the failure modes are engineering failure modes. Google Cloud certified in Generative AI, LLMs and Responsible AI.
Tell me what you want the agent to do and what systems it needs to reach. I'll tell you what's realistic including where an agent is the wrong tool and a plain script would serve you better.
Get to know Zubair Mateen
Full Stack Web Developer I Mobile App Developer I Software Developer
- FromPakistan
- Member sinceApr 2021
- Last delivery2 years
Languages
English
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FAQ
What's an MCP server, and do I need one?
It's a standard way to give an agent access to your own tools and data — your database, your ticketing system, your documents. You need one if the agent has to act on your systems rather than just talk. If it only needs to answer questions, you don't.
How do I stop the agent doing something destructive?
Scoped permissions and guardrails, which is the Agent System package. An agent gets access to specific tools with specific limits — not general access to your infrastructure. This is the part most agent projects skip.
What will this cost to run?
Agents consume more tokens than single-prompt features because they loop. I'll estimate your monthly spend before you order and build in hard ceilings so an unexpected loop doesn't produce an unexpected bill.
Claude, OpenAI, or something else?
Depends on the tools involved and your latency tolerance. I'll recommend one with the reasoning, not just a preference.
Can you connect it to our existing systems?
That's what MCP is for. Tell me which systems and I'll confirm feasibility before you order.
What if an agent isn't the right solution?
I'll say so. Plenty of problems described as agent problems are better served by a scheduled job and an API call. I'd rather tell you that than sell you something more complicated than you need.

