dhava-gautama

Toolrush MCP — Development skill for Claude Code

Development community

Kill the tool-call tax in any MCP agent harness: fast read/search, warm persistent shell, batched calls.

How to install Toolrush MCP

This entry records only its repository, not the path inside it, so there is no exact command to give. Open dhava-gautama/toolrush-mcp and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Toolrush MCP does

Kill the tool-call tax in any MCP agent harness: fast read/search, warm persistent shell, batched calls. Go port of OnlyTerp/toolrush.

Alternatives in Development

Semble — Fast and Accurate Code Search for Agents 6.1k ★
/triage — Quick triage to decide: submit or kill 1.8k ★
Fast Jev Compaction — Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scor 425 ★

README

ToolRush-MCP

[![ci](https://github.com/dhava-gautama/toolrush-mcp/actions/workflows/ci.yml/badge.svg)](https://github.com/dhava-gautama/toolrush-mcp/actions/workflows/ci.yml) [![Release](https://img.shields.io/github/v/release/dhava-gautama/toolrush-mcp)](https://github.com/dhava-gautama/toolrush-mcp/releases/latest) [![Go Report Card](https://goreportcard.com/badge/github.com/dhava-gautama/toolrush-mcp)](https://goreportcard.com/report/github.com/dhava-gautama/toolrush-mcp) [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)

**Kill the tool-call tax — in any agent harness.** A fast local tool server for [Kimi Code CLI](https://www.kimi.com/code), [Codex CLI](https://github.com/openai/codex), [Claude Code](https://docs.anthropic.com/en/docs/claude-code), and anything else that speaks the Model Context Protocol.

A universal port of [ToolRush](https://github.com/OnlyTerp/toolrush) (a Hermes Agent plugin, Windows/MSYS-only) — same lanes, same fail-closed philosophy, shipped as one static Go binary instead of harness-specific monkeypatching.

What you get

Tool	What it does
`fast_read`	In-process file read: line-number gutter, offset/limit paging, negative offset = tail, binary sniff, BOM strip, >64MB files stream the window. Line-level mtime cache — page turns are cache hits
`batch_read`	1–16 reads through one tool call, input order, whole-batch validated before anything runs (serial by design — measured faster than pooling on page-cache-fast storage)
`fast_search`	Direct `rg` transport — real `.gitignore`, real regex grammar. Pure-Go walk fallback when rg is absent. `context=N` (0–5) adds N lines of gutter around each hit: `L-line` before, `L+line` after
`batch_search`	1–16 searches through one call, fanned out across goroutines — each op spawns its own rg process, so the batch wall time approaches the slowest op, not the sum. Input order, whole-batch validated, per-op failures isolated