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English
$
USD
I will conceptualize and build custom ai agents and mcp servers
Jemimo AI
About this gig
From "AI could help here" to a working agent conceptualized and built.
Most teams know AI should fit somewhere in their stack, but not where the real leverage is or how to wire it in safely. We do both: we design the right agent, then build it production-grade, not a demo.
What we build:
AI agents that reason, use tools, and complete multi-step tasks
MCP servers (Model Context Protocol) that cleanly expose your APIs, databases, and tools to Claude and any MCP-compatible LLM build once, works across models
Multi-agent orchestration several agents and tools working together
Evaluation and guardrails so it keeps working after day one
Why us: an AI-native engineering practice founded by a former lead of KPMG's Gen-AI Centre of Excellence 10+ production AI systems shipped in under a year. AI-augmented delivery, humans in the loop, security baked in. 50% below agency rates by construction, not discount.
Delivered with Claude included by default, or bring your own API key (BYOK) for full data control.
Tell us the workflow or tools you want your AI to reach. We'll tell you honestly if an agent is the right call then build it.
Get to know Jemimo AI
Jemimo AI
Production AI, Founder led, 50 percent below agency by construction
- FromIndia
- Member sinceAug 2026
- Avg. response time1 hour
Languages
Tamil, English
Jemimo AI is an AI-native engineering practice, bootstrapped by design. We build production-grade AI: autonomous QA (Regressops™), AI agents, and MCP servers. Founded by a former lead of KPMG's Gen-AI Centre of Excellence — 13+ years shipping full-stack software, and 10+ production AI systems delivered in under a year. AI-augmented delivery with humans in the loop, security and technical-debt prevention baked in. Founder-led, no junior bench — and structurally 50% below agency rates, by construction, not discount. Tell us what you're building; we'll tell you honestly if AI fits, then build it.
FAQ
What's an MCP server?
Model Context Protocol — an open standard that lets LLMs like Claude securely use your tools, APIs, and data. Build it once and any MCP-compatible model can use it, so you're not locked to one provider.
Which models or frameworks do you use?
We're model-agnostic — Claude, GPT, Llama/Groq — chosen per task, cost, and privacy. Builds are delivered using Claude, with clean, documented code you can run anywhere.
Do I get the source code?
es — you own the full, well-documented source and run it in your own infrastructure. No lock-in.
Do I need to provide anything for the AI itself?
Claude access is included by default. If you'd prefer full data control, provide your own API key (BYOK) and inference runs entirely through your account.
Will it survive production, or break in a week?
We ship with an evaluation harness and guardrails — not just a prompt. That's the difference between a demo and something that keeps working.
Can you integrate with our existing systems?
Yes — APIs, databases, and common tools (Slack, Sheets, CRMs, internal services) via MCP or direct integration.
What counts as a revision vs. new scope?
A revision is adjustments to the delivered agent/MCP code against the original scope. New features or added integrations are a fresh scope — we'll send a custom offer.
Which package should I choose?
MCP Server if you need one tool/API exposed to your LLM. Custom AI Agent for a working agent with an integration. Agent System for multiple agents/tools, deployed with guardrails.
What do you need to get started?
The workflow or tools you want your AI to reach, sample inputs and desired outputs, systems/APIs to integrate, and any data-sensitivity notes.
