knewstimek

knewstimek / agent-tool

Public

MCP tool server for AI coding agents — encoding-aware Edit/Read/Write, SSH, SFTP, process management, and more

ai-coding automation claude-code cli codex
10
1
100% credibility
Found Mar 17, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

agent-tool is an MCP (Model Context Protocol) tool server designed for AI coding agents, providing enhanced tools like Edit, Read, Write, Grep, and others that preserve indentation styles, encodings, bundle multiple utilities, and bypass network restrictions.

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AI-Generated Review

What is agent-tool?

Agent-tool is a Go-based MCP tool server that equips AI coding agents like Claude Code, Cursor, and Codex CLI with 46 bundled tools for file editing, SSH/SFTP, persistent shells, databases, web fetching, and binary analysis. It fixes common agent pitfalls: preserving legacy encodings (EUC-KR, Shift-JIS), matching project indentation via .editorconfig, and bypassing network censorship with DoH/ECH. Install once as a single binary, and agents get agent tool calling for read/write/edit, process management, and more—no hunting CLIs.

Why is it gaining traction?

Unlike scattered agent tools in LangChain or n8n, or Microsoft's agent toolkit, this packs everything into one MCP server with smart fixes like dry-run previews, SSRF/DLP protection, and DAP debuggers. Developers notice instant wins on legacy projects where built-in tools corrupt tabs or encodings, plus remote ops without setup. The auto-install CLI and agent instructions make it dead simple for MCP GitHub Copilot VSCode/IntelliJ users.

Who should use this?

AI coding agent power users on non-UTF8 codebases, like Korean/Japanese legacy apps or mixed-indent repos. Remote devs needing SSH/SFTP/MySQL/Redis without config hassles, or those debugging binaries/procs via memtools/analyze. Ideal for Cursor/Claude Code workflows with mcp github npx project manager tasks.

Verdict

Grab it if you're deep in AI agent toolkits—solid docs and features punch above 10 stars, but 1.0% credibility signals early maturity; test on non-critical projects first. Promising agent-tools skill booster once adoption grows.

(198 words)

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