Build MCP Servers that don't suck...tokens.
The article discusses improvements to MCP servers, focusing on reducing token usage and context bloat. It highlights strategies to streamline API interactions and enhance efficiency. By implementing these methods, users can significantly lower costs associated with token consumption.
- ▪First-generation MCP servers often lead to context bloat and high token usage due to inefficient API handling.
- ▪The article presents strategies that can reduce token consumption dramatically, such as using allowlist-style trimming and consolidated tools.
- ▪Implementing these strategies can lower the token cost per conversation from around 10,000 tokens to as low as 100 tokens.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 77814) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Scott Lepper Posted on May 19 Build MCP Servers that don't suck...tokens. #ai #mcp #typescript #opensource First-generation MCP servers were great. They gave AI agents access to a ton of external apps and data — Jira, Confluence, GitHub, Linear, you name it. But most of them just wrapped REST APIs. And that causes a ton of context bloat, hallucinations, and token burning. Combining a few strategies from the ultra-mcp-toolkit, you can reduce that bloat dramatically — and save money.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).