You will get a custom MCP server connecting your AI tools to your internal systems
Rising Talent
Rising Talent
Project details
MCP is the new standard for connecting AI assistants to external systems - but most teams have never built one. You want Claude, Cursor, or your AI tooling to query your internal APIs, pull reports, or trigger actions. You just need someone who's done it before.
I build custom MCP servers that connect AI clients to your SaaS platforms and APIs. I've shipped MCP servers in production for compliance platforms and built security tooling for regulated industries. Your server ships with security defaults from day one - input validation, least-privilege tool boundaries, and invocation logging - not bolted on later.
Starter delivers a working MCP server for one API with a setup script, documentation, and full source code. Standard adds CI/CD safety gates and automated security scanning on every commit. Advanced is the full production kit - runtime policy enforcement, adversarial testing, and a complete team handoff.
You own everything, full source, no lock-in. I build it, walk your team through it, and you run it from there.
I build custom MCP servers that connect AI clients to your SaaS platforms and APIs. I've shipped MCP servers in production for compliance platforms and built security tooling for regulated industries. Your server ships with security defaults from day one - input validation, least-privilege tool boundaries, and invocation logging - not bolted on later.
Starter delivers a working MCP server for one API with a setup script, documentation, and full source code. Standard adds CI/CD safety gates and automated security scanning on every commit. Advanced is the full production kit - runtime policy enforcement, adversarial testing, and a complete team handoff.
You own everything, full source, no lock-in. I build it, walk your team through it, and you run it from there.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI-Generated Code, AIOps, Conversational AIAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, StreamlitAI Models
GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$2,500
|
Standard
$4,500
|
Advanced
$7,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | ||
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
API Integration
(+ 5 Days)
+$1,500Frequently asked questions
About Jonathan
AI Agent Developer | Production AI & Agentic Automation
San Francisco, United States - 4:15 pm local time
What I've built:
→ CareLabl (solo-built consumer iOS app, 4 repos, all me from schema to billing. React/Capacitor + GCP Cloud Run + Vertex AI + RevenueCat. Live on the App Store.)
→ Pipeline Coach (LangGraph agents on GCP for CRM pipeline hygiene, plus MCP server. Open source)
→ Vanta MCP Server (open source, TypeScript, OAuth2, published Claude/Cursor plugin)
→ Truth Hackers (voice AI avatar platform with Anam.ai, GCP, pgvector, Neo4j)
→ Marketing RAG Assistant (Electron/React/FastAPI desktop app, local-first, sqlite-vss)
→ 10+ published Claude Code plugins, plus open-source global Claude Code config
What you get:
→ A senior developer who writes the code, not a manager who delegates
→ Full product ownership from MVP through post-launch iteration
→ AI agents and workflows on Claude (RAG, MCP, multi-agent, voice)
→ Production rigor from day one: CI/CD, type-checking, audit trails, security defaults
→ Founder-paced shipping (8-10 week sprints, full availability, days-not-weeks onboarding)
Why hire me:
→ Production systems shipped. Real things, not demos
→ Comfortable with founder-led products and long-term partnerships
→ Fast response, available now
Background: Agentic Studio Labs - AI engineering firm, founded 2025. Prior experience includes two VC-backed startups in senior engineering roles, plus a fractional CISO practice (SOC 2, ISO 27001, HIPAA) running alongside.
Steps for completing your project
After purchasing the project, send requirements so Jonathan can start the project.
Delivery time starts when Jonathan receives requirements from you.
Jonathan works on your project following the steps below.
Revisions may occur after the delivery date.
Scope & Architecture
We map your target API, define tool boundaries, and lock the implementation plan. You approve the tool list before we write code.
Build & Test
We implement the MCP server with tool handlers, setup script, and docs. Standard+: CI safety gates and security scanning integrated on every commit.