mcp-response-optimization

Filter, paginate, and save large MCP responses across multiple providers.

1|Updated Dec 31, 2025
One-click install
npx skills add https://github.com/sellersessions/Sub-Agents --skill mcp-response-optimization
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-response-optimization
Source: https://github.com/sellersessions/Sub-Agents/tree/main/Agent-33-Skills-Maker/output/mcp-response-optimization
Command: npx skills add https://github.com/sellersessions/Sub-Agents --skill mcp-response-optimization

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill minimizes MCP responses by filtering, limiting, and saving data instead of returning large payloads, reducing token waste.

Core Features & Use Cases

  • Selective data requests: always request minimal fields and paginate results to avoid oversized replies.
  • Safe data handling: save large responses to files and present concise summaries instead of raw data.
  • Cross-MCP efficiency: applies to WordPress MCP, Playwright, Notion, filesystem, Gmail, Supabase, and other MCPs to preserve conversation context.

Quick Start

Enable automatic MCP response minimization for all tool calls. For example: wordpress.list_posts({ per_page: 5, fields: 'id,title,date' }).

Frequently Asked Questions about mcp-response-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce MCP response token usage when querying large datasets?

To reduce MCP response token usage, apply pre-call filters to request minimal fields, enforce aggressive pagination, and save large payloads to files instead of returning raw data to the conversation context.

What's the best way to minimize Notion MCP payload size in long conversations?

The best way to minimize Notion MCP payload size is to implement ID-based workflows, request only essential fields, paginate aggressively, and save large responses to files while presenting concise summaries.

Does this MCP token optimization approach work with WordPress and Playwright?

Yes, this token optimization approach works across WordPress MCP, Playwright, Notion, filesystem, Gmail, and Supabase by enforcing selective data requests, pagination, and file-based data handling to preserve conversation context.

How do I stop MCP tool calls from returning oversized raw responses?

To stop MCP tool calls from returning oversized raw responses, enforce pre-call filtering with minimal field requests, apply aggressive pagination limits, and save large data payloads to files while displaying only concise summaries.

Why do MCP calls exhaust my conversation context window so quickly?

MCP calls exhaust conversation context windows quickly because they return large unfiltered payloads; applying pre-call filters, limiting requested fields, and saving raw data to files prevents token waste and preserves context.