Humane MCP
Provides memory and orchestration capabilities using OpenAI-compatible APIs as the model provider, allowing AI agents to recall prior knowledge and dispatch parallel workers.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Humane MCPRecall what we know about this bug and dispatch parallel investigations."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Humane MCP
Waste less intelligence.
Two capabilities that cut the real waste in AI — re-deriving what it already knew, and grinding one giant model serially through work a fleet of small ones could split — in one install, for any model.
Memory (tamper-evident, local):
recallbefore you re-derive,rememberwhat you learn,verifythe chain. Stop re-reading and re-figuring.Orchestration (provider-agnostic):
orchestrate/plan/dispatch— right-sized parallel workers instead of a sledgehammer for every nail.
It takes effect on connect: the server hands your assistant instructions to recall-before-deriving and dispatch-instead-of-grinding. Bring your own key (Anthropic / OpenAI-compatible / Gemini). Free & Apache-2.0; paid upgrades add hosted/shared team memory + the governed team platform (humane_upgrade).
Twin of ArkHive. Part of the #HumaneIntelligence movement.
Install
pip install humane-mcp
# set one: ANTHROPIC_API_KEY | OPENAI_API_KEY | GEMINI_API_KEYTagline: Waste less intelligence.
This server cannot be deployed
Maintenance
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