Blackboard MCP server for coordinating parallel subagents across Claude Code and Codex
View on GitHub ↗A portable blackboard MCP server + skill/agent packs that make Claude Code and OpenAI Codex launch parallel subagents that actually coordinate — instead of fanning out into isolated workers that duplicate work and clobber each other's files.
The orchestrator decomposes the task into research and implement tasks with disjoint file scopes and explicit dependencies, publishes them to the blackboard, spawns one subagent per task in parallel, and synthesizes the results. Subagents claim tasks atomically, post findings, consume upstream findings, register artifacts, and report done — all through MCP tools.
Why this works when naive parallelism doesn't
- Shared state. Subagents don't share conversation history. The blackboard is the only place they meet: researchers post findings, implementers read them before coding. - Atomic ownership. claimtask uses a cross-process file lock, so exactly one agent owns a task — even when each Codex subagent runs its own MCP server process. - Disjoint scopes. The orchestrator assigns non-overlapping file globs to implementers, so parallel edits never conflict. - Dependencies. An implement task lists its research task as a dependency; the blackboard blocks claiming it until the research is done.
Three options, from easiest to most control.
Option A — One-command install script (recommended)
Detects Claude Code and/or Codex, copies the skill + agent files, and registers the MCP server. Uses the published npm package — no clone or build needed.
From the project README.
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