Building an MCP server as a portfolio weapon
How to build a real Anthropic Model Context Protocol server end-to-end as a portfolio project — tool schemas, stdio vs SSE transport, deployable demo, and the blog post that gets inbound.
Building an MCP server as a portfolio weapon
Status: Outline — full guide coming soon. Get notified when it ships →
What this covers
- Picking the right MCP server topic (one that's actually useful, not a calculator demo)
- The minimal spec implementation: tools, resources, prompts, and which to skip first
- Stdio transport vs SSE/HTTP — when to use each and why both matter
- Packaging for Claude Desktop install + the blog post that converts to inbound
Why this matters for Indian devs going remote
MCP is new enough in 2026 that a working, well-documented server signals you're tracking the frontier — exactly the signal AI-eng hiring managers filter for. For Indian devs entering AI engineering, this is one of the few build-tracks where being early carries more weight than being credentialed.
Outline
Picking a non-trivial topic
TODO — connect a real data source (Postgres, Linear, Notion, your own product); avoid calculator/joke demos.
The minimal spec to implement
TODO — tools first, resources second, prompts last. JSON schema discipline.
Stdio vs SSE transport
TODO — stdio for Claude Desktop, SSE/HTTP for remote/web hosts; when to ship both.
Packaging and the launch blog post
TODO — Claude Desktop config snippet, an install one-liner, the blog post structure that gets inbound.
Common mistakes to avoid
- Building a tool nobody would actually use (echo, calculator, weather)
- Skipping the deployment / install step — code on GitHub doesn't convert
- Writing a tutorial-style blog post instead of a "I built X and here's what I learned" post
Templates / examples
TODO — a scaffolded MCP server starter (Node + Python), a deploy-and-distribute checklist, and the "launch post" blog template.
Related guides
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