Planetary Agents
Let coding agents chat with alchm.kitchen planetary personas, pull council feeds, and run culinary debates via a FastAPI-backed MCP bridge.
Overview
Planetary Agents is a Build-phase MCP server that lets LLMs talk to alchm.kitchen planetary personas and read council feeds via a configurable FastAPI backend.
What is this MCP server?
- Converse with planetary-agent personas through MCP tools backed by a Planetary Agents FastAPI service
- get_agent_feed_discussion reads council-feed threads from the configured frontend base URL
- PyPI package alchm-planetary-agents-mcp v1.0.0 with stdio transport
- PLANETARY_AGENTS_MCP_MODEL_TIER: free | cheap_fast | primary | reflective (defaults free on hosted backend)
- Persona orchestration MCP—not a single static prompt skill or generic OpenAI wrapper
- Server version 1.0.0
- PyPI identifier alchm-planetary-agents-mcp
- 4 documented model tiers: free, cheap_fast, primary, reflective
What problem does it solve?
Builders cannot orchestrate multi-persona culinary or cosmic debates inside the IDE without MCP tools that reach the Planetary Agents backend and feed.
Who is it for?
Indie developers creating council-style agent UIs, feed-driven discussions, or persona tiers on top of Claude Code or Cursor.
Skip if: Projects that only need static horoscope text or a single chat model with no FastAPI persona backend.
What do I get? / Deliverables
After registering alchm-planetary-agents-mcp, your agent can invoke persona chat and council-feed tools against local or hosted alchm.kitchen agent infrastructure.
- MCP tools for planetary persona chat against the configured backend
- Council-feed discussion reads via get_agent_feed_discussion
- Tier-aware persona responses using PLANETARY_AGENTS_MCP_MODEL_TIER defaults
Recommended MCP Servers
Journey fit
How it compares
Multi-persona FastAPI MCP connector, not a lone brainstorming skill or raw alchm transit data server.
Common Questions / FAQ
Who is planetary-agents for?
Solo builders wiring MCP clients to alchm.kitchen Planetary Agents—persona chat, council feeds, and tiered model responses—for experiential agent apps.
When should I use planetary-agents?
During Build agent-tooling when you need MCP-accessible persona conversations and feed discussions instead of hard-coded single-bot prompts.
How do I add planetary-agents to my agent?
Install alchm-planetary-agents-mcp from PyPI, set PLANETARY_AGENTS_BACKEND_URL and PLANETARY_AGENTS_FRONTEND_URL (hosted or localhost), optionally PLANETARY_AGENTS_MCP_MODEL_TIER, then register the stdio server in your MCP client.