Server data from the Official MCP Registry
Multi-model AI orchestration: plan a task DAG, route each task to the best capable model.
About
Multi-model AI orchestration: plan a task DAG, route each task to the best capable model.
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
5 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
What You'll Need
Set these up before or after installing:
Environment variable: CLAUDE_CODE_ENABLED
Environment variable: CODEX_ENABLED
Environment variable: ANTHROPIC_API_KEY
Environment variable: OPENAI_COMPAT_BASE_URL
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-ribato22-baton": {
"env": {
"CODEX_ENABLED": "your-codex-enabled-here",
"ANTHROPIC_API_KEY": "your-anthropic-api-key-here",
"CLAUDE_CODE_ENABLED": "your-claude-code-enabled-here",
"OPENAI_COMPAT_BASE_URL": "your-openai-compat-base-url-here"
},
"args": [
"baton-mcp",
"baton-orchestrator"
],
"command": "uvx"
}
}
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