mlua-swarm
MCP server that executes Blueprint workflows (flow.ir) with swarm operations, dispatching agent steps to backends like Lua, Rust, processes, or interactive Operator sessions.
README
mlua-swarm
A long-running swarm engine host that compiles flow.ir Blueprints and
dispatches their agent steps to workers. A Blueprint declares a flow
(step / seq / branch / loop / fanout / try / assign nodes) plus the
agents it references; the engine resolves each agent to a backend
(in-process Lua, a Rust function, a child process, or an interactive
Operator) and drives the flow while recording task state.
Install
cargo install mlua-swarm-cli
This installs the mse binary with two subcommands:
mse serve # HTTP + WS server (tasks, Blueprint store, WS Operator sessions)
mse mcp # MCP adapter over stdio, for AI agents (Claude Code etc.)
One-shot Blueprint execution is available through the swarm_run MCP tool
(exposed by mse mcp), which runs through the canonical
TaskApplication.handle / TaskLaunchService::launch path.
MCP client config:
{ "command": "mse", "args": ["mcp"] }
Docker (no Rust toolchain required)
Also listed on the MCP Registry
as io.github.ynishi/mlua-swarm:
{
"mcpServers": {
"mlua-swarm": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"ghcr.io/ynishi/mse:latest",
"mcp"
]
}
}
}
Documentation
Documentation is served from the code itself:
- API / architecture — rustdoc on docs.rs (the crate root doc is the architecture overview).
- Guides / samples / schema — bundled MCP resources under
mse://, served bymse mcpand always version-matched to the binary:mse://guides/getting-started,mse://guides/bp-lifecycle(the develop → trial-run → operate workflow map),mse://guides/blueprint-authoring,mse://guides/mcp-tool-reference,mse://blueprints/samples/*, and the live Blueprint JSON Schema atmse://api/blueprint-schema(also available as thebp_schematool).
Workspace crates
| crate | role |
|---|---|
mlua-swarm |
engine core (workspace root package) |
mlua-swarm-schema |
Blueprint schema types |
mlua-swarm-server |
HTTP + WS server library |
mlua-swarm-cli |
the mse binary |
License
Licensed under either of Apache License 2.0 or MIT License at your option.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。