collab-hub 0.2.0

Unified MCP server for cross-platform multi-model AI collaboration

collab-hub

Unified MCP server for cross-platform multi-model AI collaboration.

Route tasks to Codex CLI, Gemini CLI, and Claude Code CLI through a single MCP interface with smart routing and caller auto-detection.

Install

# One-command install for Claude Code
claude mcp add collab-hub -s user -- uvx collab-hub

# Codex CLI (~/.codex/config.toml)
# [mcp_servers.collab-hub]
# command = "uvx"
# args = ["collab-hub"]

# Gemini CLI (~/.gemini/settings.json)
# {"mcpServers": {"collab-hub": {"command": "uvx", "args": ["collab-hub"]}}}

Tools

• collab_dispatch — Send a task to a model and get structured results
  • provider: "auto" / "codex" / "gemini" / "claude"
  • task: The prompt to send
  • workdir, sandbox, session_id, timeout, model, profile, reasoning_effort
• collab_check — Check which CLIs are available, show detected caller and config

Smart Routing

provider="auto" routes tasks by keyword analysis and auto-excludes the calling platform:

From Claude Code → routes to Codex or Gemini (never back to Claude)
From Codex CLI → routes to Claude or Gemini (never back to Codex)

User Configuration

Create .collab-hub/profiles.toml or ~/.config/collab-hub/profiles.toml:

[routing]
default_provider = "codex"

[[routing.rules]]
provider = "gemini"
[routing.rules.match]
keywords = ["frontend", "react", "css"]

[profiles.budget]
[profiles.budget.providers.codex]
model = "gpt-4.1-mini"

Links

• Full Documentation
• 中文文档

License

MIT