mcp-tools-as-code

What problem does it solve?

Traditional Model Context Protocol (MCP) tool usage often leads to excessive token consumption due to redundant tool definitions in the context window and repeated processing of intermediate data by the model. This Skill addresses these inefficiencies, making agent interactions with MCP servers dramatically more cost-effective and performant.

Core Features & Use Cases

• Token Reduction: Converts MCP tool calls into native TypeScript APIs, allowing large datasets to be processed within a secure execution sandbox, reducing token usage by 98% or more.
• Native Control Flow: Enables complex programming constructs like loops, conditionals, and robust error handling directly in code, replacing cumbersome sequential tool calls.
• Efficient Data Handling: Facilitates client-side filtering of large datasets, exposing only the relevant information to the model and preventing context overload.
• Use Case: Automate a multi-step workflow, such as fetching a meeting transcript from Google Drive, locally extracting key points and action items, updating a Salesforce CRM record with a concise summary, and posting a notification to Slack, all while minimizing token costs and maximizing processing efficiency.

Quick Start

Use the mcp-tools-as-code skill to convert your Google Drive MCP server into a typed TypeScript API. Then, write a TypeScript function to fetch a document, summarize its content locally, and update a CRM record with the summary.