Why MCP Tool Setup Is Still Broken (And What We Did About It)

The Setup Tax Every AI Developer Pays

If you've tried building a real agent with Claude Code or Cursor, you've felt the setup tax. You find a promising MCP server, clone the repo, hunt for API keys, register an OAuth app, copy credentials into a JSON config, restart the client, and hope it works. Repeat for every tool.

This isn't a niche complaint. It's the most common drop-off point for developers adopting the Model Context Protocol. The protocol itself is elegant — a standard stdio/SSE transport that any LLM client can speak. The *ecosystem* around it is still the wild west.

Why It's Worse Than It Looks

The surface problem is "too many steps." The deeper problem is credential sprawl. Each MCP server you add needs its own secrets. Those secrets live in different places: environment variables, config JSONs, dotfiles, system keychains. When they expire, when OAuth tokens rotate, when you switch machines — everything breaks silently.

We saw developers maintaining three separate Claude config files across two laptops and a work machine. None of them were in sync. Credentials expired at random. Error messages from MCP servers were cryptic at best.

What Syncore Does Differently

Syncore separates the MCP *transport* concern from the *credential* concern completely.

One credential store, device-bound. When you run syncore login, a per-machine master key is created in your OS keychain. All provider credentials are encrypted with that key and written atomically to disk. There's no plaintext secrets file sitting in your home directory.

Proactive token refresh. A background daemon runs a keep-alive loop every 5 minutes: it checks whether your Supabase session or any OAuth provider token is within 10 minutes of expiry, and refreshes silently before you ever see an error. You don't think about token expiry because Syncore handles it.

One config, all clients. The syncore setup command scans your machine for installed AI clients — Claude Desktop, Claude Code, Cursor, Windsurf — and writes the correct MCP config for each one in a single pass. Add a new client later? Run syncore setup again.

Skills as packages. Instead of pointing MCP clients at GitHub repos, Syncore packages tools as *skills* with a manifest. Install a skill with syncore install gmail. Uninstall it with syncore uninstall gmail. The daemon discovers installed skills automatically at startup — no config file editing required.

The Result

A developer going from zero to a working Gmail + Notion + Perplexity stack used to take 2-3 hours. With Syncore it takes under 2 minutes:

curl -fsSL https://syncorelabs.ai/install.sh | sh
syncore login
syncore setup

That's it. Every installed AI client on your machine now has 38+ tools available without touching a config file.

What's Next

We're working on skill hot-reload so adding a new skill doesn't require restarting your AI client, and on a team vault so credentials can be shared across a team without anyone emailing API keys in Slack.

If you're building agents and you're tired of the setup tax, [get started free](/login).