harnss — MCP Server by OpenSource03

by OpenSource03 · MCP Server · ★ 215

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About harnss

Open-source, desktop client/UI build to harness Claude Code, Codex and any other Agent accepting Agent Client Protocol. Run multiple AI coding agents side by side with rich tool visualization, MCP integrations, built-in terminal, git, browser and just about anything else you may need.

agent-client-protocolagentclientprotocolaichatgptclaudeclaude-codecodexcopilotgemini

Quick Facts

Stars215
Forks25
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score37.3/100
Open Issues18
Last Updated2026-05-05
Created2026-02-19
Platformsbrowser, claude-code, cli, codex, gemini, mcp, node
Est. Tokens~760k

harnss alternative? Top 6 similar tools

Looking for a harnss alternative? If you're comparing harnss with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is harnss?

harnss is Open-source, desktop client/UI build to harness Claude Code, Codex and any other Agent accepting Agent Client Protocol. Run multiple AI coding agents side by side with rich tool visualization, MCP int. It is categorized as a MCP Server with 215 GitHub stars.

What programming language is harnss written in?

harnss is primarily written in TypeScript. It covers topics such as agent-client-protocol, agentclientprotocol, ai.

How do I install or use harnss?

You can find installation instructions and usage details in the harnss GitHub repository at github.com/OpenSource03/harnss. The project has 215 stars and 25 forks, indicating an active community.

What license does harnss use?

harnss is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to harnss?

The top alternatives to harnss on Agent Skills Hub include ccmanager, cc-multi-cli-plugin, codesight. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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