Long-running swarm engine that compiles flow.ir Blueprints and dispatches agent steps to workers (in-process Lua / Rust fn / child process / interactive Operator). HTTP + WS server + MCP adapter.
git clone https://github.com/ynishi/mlua-swarm{
"mcpServers": {
"mlua-swarm": {
"command": "mlua-swarm"
}
}
}Resumen de MCP Servers
# 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
```bash
cargo install mlua-swarm-cli
```
This installs the `mse` binary with two subcommands:
```bash
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:
```json
{ "command": "mse", "args": ["mcp"] }
```
#### Docker (no Rust toolchain required)
Also listed on the [MCP Registry](https://registry.modelcontextprotocol.io)
as `io.github.ynishi/mlua-swarm`:
```json
{
"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](https://docs.rs/mlua-swarm)
(the crate root doc is the architecture overview).
- **Guides / samples / schema** — bundled MCP resources under `mse://`,
served by `mse mcp` and always version-matched to the binary:
`mse://guides/getting-started`, `mse://guides/blueprint-authoring`,
`mse://guides/mcp-tool-reference`, `mse://blueprints/samples/*`, and
the live Blueprint JSON Schema at `mse://api/blueprint-schema`
(also available as the `bp_schema` tool).
## 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](LICENSE-APACHE) or
[MIT License](LICENSE-MIT) at your option.
Lo que la gente pregunta sobre mlua-swarm
¿Qué es ynishi/mlua-swarm?
+
ynishi/mlua-swarm es mcp servers para el ecosistema de Claude AI. Long-running swarm engine that compiles flow.ir Blueprints and dispatches agent steps to workers (in-process Lua / Rust fn / child process / interactive Operator). HTTP + WS server + MCP adapter. Tiene 0 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala mlua-swarm?
+
Puedes instalar mlua-swarm clonando el repositorio (https://github.com/ynishi/mlua-swarm) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar ynishi/mlua-swarm?
+
ynishi/mlua-swarm aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.
¿Quién mantiene ynishi/mlua-swarm?
+
ynishi/mlua-swarm es mantenido por ynishi. La última actividad registrada en GitHub es de today, con 11 issues abiertos.
¿Hay alternativas a mlua-swarm?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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