My AI Agent Could See 167 Tools. Then I Told It to shutup.

Introduction

In the context of using Claude Code and other AI-driven development environments, managing a large number of tools can be inefficient and costly in terms of computational resources. This is where shutup-mcp comes into play—a lightweight proxy designed to filter out unnecessary tools from your Multi-Component Protocol (MCP) servers based on the task at hand.

Problem Statement

When working with multiple MCP servers, such as those for GitHub, Redis, Jira, and Grafana, the number of available tools can quickly become overwhelming. This leads to several issues:

1. Token Overhead: Each tool definition consumes tokens, increasing the cost of interaction.
2. Error Rates: Agents often struggle to select the correct tool from a large set, leading to errors like "pick the wrong tool."
3. Configuration Overhead: Managing regex filters for each new MCP server is cumbersome and time-consuming.

Solution Overview

shutup-mcp addresses these issues by leveraging vector embeddings and semantic search techniques similar to those used in Redis Tool Filtering but without requiring additional infrastructure like Redis or a commercial platform. The key features of shutup-mcp include:

• Token Reduction: Filters out tools not relevant

Read the full article at DEV Community

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