claude-delegator — MCP Server by jarrodwatts

by jarrodwatts · MCP Server · ★ 987

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About claude-delegator

Claude Delegator GPT expert subagents for Claude Code. Five specialists that can analyze AND implement—architecture, security, code review, and more. Install Inside a Claude Code instance, run the following commands: Step 1: Add the marketplace Step 2: Install the plugin Step 3: Run setup Done! Claude now routes complex tasks to GPT experts automatically. Note: Requires Codex CLI or Gemini CLI. Setup guides you through installation. What is Claude Delegator? Claude gains a team of GPT and Gemini specialists via native MCP. Each expert has a distinct specialty and can advise OR implement. Note: You can use either provider (GPT or Gemini), or both. The plugin will automatically detect which one is configured and route tasks accordingly.

ai-agentsclaudeclaude-codecodexgptmcpplugin

Quick Facts

Stars987
Forks50
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score79.7515346844973/100
Open Issues6
Last Updated2026-03-09
Created2026-01-08
Platformsclaude-code, codex, gemini, mcp, node
Est. Tokens~49k

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Frequently Asked Questions

What is claude-delegator?

claude-delegator is Delegate tasks to Codex and Gemini directly from within Claude Code.. It is categorized as a MCP Server with 987 GitHub stars.

What programming language is claude-delegator written in?

claude-delegator is primarily written in JavaScript. It covers topics such as ai-agents, claude, claude-code.

How do I install or use claude-delegator?

You can find installation instructions and usage details in the claude-delegator GitHub repository at github.com/jarrodwatts/claude-delegator. The project has 987 stars and 50 forks, indicating an active community.

What license does claude-delegator use?

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

What are the best alternatives to claude-delegator?

The top alternatives to claude-delegator on Agent Skills Hub include tokscale, Overture, deepcontext-mcp. 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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