1. What a fractional MCP and AI agent engineer does
An MCP (Model Context Protocol) engineer builds the servers and tools that let large language models safely read from and act on your systems. An AI agent engineer designs the loops, memory, and guardrails that turn a model into something that completes real work end to end. In practice the two roles overlap, and the same specialist usually handles both.
2. What Rafiki's MCP and agent engineers build
- MCP servers that expose your internal tools, data, and APIs to Claude, ChatGPT, and other models.
- Tool-using agents that plan, call functions, and recover from errors.
- Retrieval and memory layers, including vector search and context management.
- Evals and guardrails so agents stay reliable once they reach production.
- Integrations into Slack, your CRM, your data warehouse, and internal apps.
3. How the managed model works
You send one brief. We return a vetted shortlist within 72 hours, drawn from a bench where fewer than 1% of applicants are accepted. The average engineer brings 15 or more years of experience, and the wider network has delivered 50+ international projects.
Your engineer embeds in your tools and standups, working your business hours. Billing runs through Petl Pay, so cross border payments settle without SWIFT fees.
4. Engagement options
| Option | Best for | Team | Typical start |
|---|---|---|---|
| Single specialist | One clear workstream | 1 engineer | Within 72 hours |
| Micro-squad | A full agent product or platform | 2 to 4 specialists | Within 1 week |
| Embedded fractional | Ongoing build and maintenance | 1 to 2 part-time | Within 72 hours |
5. Why fractional plus AI beats an early full-time hire
Hiring a full-time MCP and AI agent engineer is a slow, expensive bet, usually made before you know whether you need the role or how that person works. A managed fractional MCP and AI agent engineer removes that risk: senior, AI-leveraged output from day one, a commitment you scale up or down as the work changes, and a permanent hire only once you have validated the need.
Because our specialists run on best-in-class AI tooling, a single fractional engagement covers what used to take a full team. You pay for senior judgment and outcomes, not for headcount you are not yet sure about.
Our bench spans a core group in South Africa, where Rafiki's founders are from, plus vetted fractionals across the UK and Europe, all working your business hours with strong overlap for standups.
6. Frequently asked questions
What is an MCP engineer?
An MCP engineer builds Model Context Protocol servers and tools that let LLMs such as Claude and ChatGPT safely access your data and take actions inside your systems.
How fast can Rafiki place an MCP or AI agent engineer?
We return a vetted shortlist within 72 hours of receiving your brief.
Is this a freelancer marketplace?
No. Rafiki is a managed service. We vet, match, and support every engineer, and you work with people who have cleared a screening fewer than 1% pass.
How much do Rafiki AI agent engineers cost?
Pricing is set per brief, based on scope and seniority. A fractional MCP and AI agent engineer costs a fraction of a full-time hire, and because they run on best-in-class AI you get senior output from a flexible, lower-risk commitment instead of carrying permanent headcount before you have validated the need.
Where are the engineers based?
Our core bench is in South Africa, where Rafiki's founders are from, and we also place vetted fractionals from the UK and Europe. Everyone works your business hours with strong overlap for standups.
Explore the fractional AI bench: Managed Fractional AI Squads · GTM · Sales · Chat-based builds · Forward-deployed
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