Hire a Claude AI developer who shipped MCP Protocol in production
Long-context document processing, agentic tooling, MCP servers. Instill runs it. AI Automation retainer $3,000 per month.
Who this is for
Founder who specifically wants Claude (not GPT) for long-context reasoning, document processing, or MCP-compatible workflows.
The pain today
- Most freelancers default to OpenAI — few have shipped Claude at all.
- Fewer still have shipped the MCP protocol in production.
- Long-context use cases (document triage, codebase reasoning) need Claude-specific patterns.
- Your agent workflow needs Claude's tool-use model, not GPT's function calling.
The outcome you get
- A senior engineer with Claude in core stack plus MCP shipped in production.
- Long-context document pipelines with prompt caching.
- Claude tool-use agents with structured state.
- MCP servers that expose your APIs to Claude Code and other MCP clients.
Claude-specific patterns I ship
Claude AI work is different from OpenAI work. The patterns I ship include: long-context document processing (Claude's 200k context window plus prompt caching for repeated context — typical 60 to 80% cost reduction on repetitive prompts), structured tool use (Claude's tool_use plus tool_result protocol, cleaner than function calling for multi-step agents), Claude Code integration (for teams using Claude Code as a coding assistant), and MCP server authoring (exposing application APIs to any MCP client, not just Claude). Claude is in my core stack (SITE-FACTS §8) alongside OpenAI.
Instill — MCP in production
Instill (SITE-FACTS §6) runs Next.js 16 plus React 19 plus TypeScript plus PostgreSQL plus Vercel plus MCP Protocol. 30+ active users, 1,000+ skills saved, 45+ projects powered. The MCP Protocol integration exposes Instill skills to Claude Code, Cursor, and any MCP-compatible client — so a prompt library saved in Instill works inside any AI tool. Shipping MCP in production is rare; Instill is a reference point for anyone building MCP integrations.
When Claude wins vs when GPT wins
Claude wins for: long-context work (document triage over 100-page PDFs, codebase reasoning, long-form writing), agentic tooling where the model needs to chain many tool calls reliably, and MCP-compatible workflows. GPT wins for: highest-volume classification where GPT-4o-mini is cheaper, image generation plus text in one API, and function-calling workflows where the team has existing patterns. For many products the right answer is both — Claude for the heavy reasoning, GPT for the cheap bulk classification.
Pricing and scope
AI Automation retainer at $3,000 per month. 2 to 4 day delivery cycles. Daily async updates. 14-day money-back. Cancel anytime. Work Made for Hire — prompts, MCP servers, eval sets, all yours.
Recent proof
A comparable engagement, delivered and documented.
A prompt library that works with every AI tool
A home for your best AI prompts. Save them once, then use them in Claude, Cursor, or any AI tool you work with. No more copy-paste.
Frequently asked questions
The questions prospects ask before they book.
- Which Claude models do you ship?
- Claude Opus and Sonnet for production. Haiku for high-volume classification. Model selection based on task complexity and cost ceiling.
- Prompt caching?
- Yes. Anthropic's prompt caching cuts cost 60 to 90% on repetitive long prompts (long system prompts, RAG-retrieved context). Part of every long-context engagement.
- MCP server development?
- Yes. I ship MCP in production at Instill. MCP server plus tool registration plus auth plus client compatibility. If your team wants to expose APIs to Claude Code or Cursor, the MCP path is the right one.
- Claude Code for internal development?
- Yes. Integrating Claude Code into an engineering team's workflow — MCP servers for internal tools, custom skills, team-specific agents. Different scope from user-facing Claude integration.
- Can you combine Claude with OpenAI?
- Yes. Hybrid stacks are common — Claude for heavy reasoning, GPT for cheap classification. The abstraction layer handles model selection per task.
Ready to start?
Tell me what you need in 60 seconds. Tailored proposal in your inbox within 6 hours.