io.github.ynishi/mlua-swarm
MCP server for mlua-swarm: engine that compiles flow.ir Blueprints and dispatches agent steps.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
ghcr.io/ynishi/mse:0.32.1claude mcp add mlua-swarm -- docker run -i --rm ghcr.io/ynishi/mse:0.32.1 mcp
{
"mcpServers": {
"mlua-swarm": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/ynishi/mse:0.32.1",
"mcp"
]
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
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 / let 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.
Questions fréquentes
Qu'est-ce que io.github.ynishi/mlua-swarm ?
MCP server for mlua-swarm: engine that compiles flow.ir Blueprints and dispatches agent steps.
Comment installer io.github.ynishi/mlua-swarm ?
Il s'exécute sur votre machine. Dans Claude Code : claude mcp add mlua-swarm -- docker run -i --rm ghcr.io/ynishi/mse:0.32.1 mcp. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour io.github.ynishi/mlua-swarm ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
io.github.ynishi/mlua-swarm est-il open source ?
Oui. Son code est sur GitHub sous licence Apache-2.0.
Qui maintient io.github.ynishi/mlua-swarm ?
Il est publié par ynishi. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.