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Work-queue kernel for AI coding agents: dependencies, worktree isolation, quality gates, recovery
ddflow 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 78/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。 在将 ddflow 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
uvx ddflow-mcp==0.2.9运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-24T13:34:08.630748Z",
"publishedAt": "2026-10-24T13:34:08.630748Z",
"statusChangedAt": "2026-10-24T13:34:08.630748Z"
}
},
"server": {
"name": "io.github.delian/ddflow-mcp",
"title": "ddflow",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.2.9",
"packages": [
{
"version": "0.2.9",
"transport": {
"type": "stdio"
},
"identifier": "ddflow-mcp",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"environmentVariables": [
{
"name": "DDFLOW_REPO",
"description": "Repository root ddflow manages. Defaults to the client's working directory, resolved to the primary checkout even when called from inside a git worktree."
},
{
"name": "DDFLOW_AGENT",
"description": "Stable identity for this agent. Shards the event log so concurrent agents never write the same file. Defaults to host plus the git worktree's name, so every process in one worktree agrees and two parallel agents differ. A harness running SEVERAL agents inside one worktree must set this, or their work merges into a single identity."
}
]
},
{
"transport": {
"type": "stdio"
},
"identifier": "docker.io/delian/ddflow-mcp:0.2.9",
"registryType": "oci",
"environmentVariables": [
{
"name": "DDFLOW_REPO",
"description": "Repository root ddflow manages. Defaults to the client's working directory, resolved to the primary checkout even when called from inside a git worktree."
},
{
"name": "DDFLOW_AGENT",
"description": "Stable identity for this agent. Shards the event log so concurrent agents never write the same file. Defaults to host plus the git worktree's name, so every process in one worktree agrees and two parallel agents differ. A harness running SEVERAL agents inside one worktree must set this, or their work merges into a single identity."
}
]
},
{
"transport": {
"type": "stdio"
},
"identifier": "ghcr.io/delian/ddflow-mcp:0.2.9",
"registryType": "oci",
"environmentVariables": [
{
"name": "DDFLOW_REPO",
"description": "Repository root ddflow manages. Defaults to the client's working directory, resolved to the primary checkout even when called from inside a git worktree."
},
{
"name": "DDFLOW_AGENT",
"description": "Stable identity for this agent. Shards the event log so concurrent agents never write the same file. Defaults to host plus the git worktree's name, so every process in one worktree agrees and two parallel agents differ. A harness running SEVERAL agents inside one worktree must set this, or their work merges into a single identity."
}
]
}
],
"repository": {
"url": "https://github.com/delian/ddflow-mcp",
"source": "github"
},
"description": "Work-queue kernel for AI coding agents: dependencies, worktree isolation, quality gates, recovery"
}
}