Configurable AI agent orchestration, delegation, memory, and project context through MCP.
View on GitHub ↗A FastMCP server for local project context and a configurable Agent Assistants / delegation system. Everything is local-first: state lives in plain JSON under ~/.blackbox/ — no database, no cloud service, no remote BlackBox. API keys are never stored in configuration; only the name of an environment variable that supplies them.
Tool Purpose --- --- projectscan Inventory a local project (file counts, languages, tree) and cache the result. projectmemory Small key/value facts scoped to a project (set / get / list / delete). agenthandoff Leave, read, and resolve notes between agents.
Tool Purpose --- --- listproviders List configured providers (public config only — never keys). createprovider / updateprovider / deleteprovider Manage provider configurations. listassistants List configured assistants. getassistant Full configuration of one assistant. createassistant / updateassistant / deleteassistant Manage assistant profiles. enableassistant / disableassistant Toggle an assistant on/off. listcapabilities All capability terms in use across enabled assistants. findassistants Discover assistants by capability (all-of or any-of). delegatetask Send a task to an assistant; returns a persistent task id. gettask / listtasks Inspect task state/result. canceltask Cancel a queued or running task when possible.
server.py runs with the stdio transport, which is what Zed (and most MCP clients) expect.
From the project README.
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