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"
}
}
}MCP Servers overview
# 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.
What people ask about mlua-swarm
What is ynishi/mlua-swarm?
+
ynishi/mlua-swarm is mcp servers for the Claude AI ecosystem. 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. It has 0 GitHub stars and was last updated today.
How do I install mlua-swarm?
+
You can install mlua-swarm by cloning the repository (https://github.com/ynishi/mlua-swarm) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is ynishi/mlua-swarm safe to use?
+
ynishi/mlua-swarm has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains ynishi/mlua-swarm?
+
ynishi/mlua-swarm is maintained by ynishi. The last recorded GitHub activity is from today, with 11 open issues.
Are there alternatives to mlua-swarm?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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