mlua-swarm
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mlua-swarmrun the 'agent-demo' blueprint"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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-cliThis 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"
]
}
}
}Related MCP server: GRACE Orchestrator 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 |
| engine core (workspace root package) |
| Blueprint schema types |
| HTTP + WS server library |
| the |
License
Licensed under either of Apache License 2.0 or MIT License at your option.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- FlicenseAqualityBmaintenanceAn agent-native workflow MCP server that enables AI agents to execute text-defined, versionable workflows with checkpointing and state management.1015
- FlicenseNot gradedqualityBmaintenanceMCP server orchestrating local multi-agent workflows with gated lifecycle, handoff events, and host-level continuation.
- AlicenseAqualityAmaintenanceMCP server that enables running and managing file-based AI Skills, Agents, and Flow workflows as DAGs, with tools for listing, executing, and resuming tasks via stdio JSON-RPC.9MIT
- AlicenseNot gradedqualityBmaintenanceMCP server for the Mobilerun platform, exposing tools for device control, workflow automation, task management, and platform operations via a stateless HTTP or stdio interface with bearer-token authentication and policy-based access control.Apache 2.0
Related MCP Connectors
MCP server for AI agents to plan, verify, and deploy Cloudflare-native apps.
Control plane for autonomous software labor. Agents claim objectives over MCP with audit trail.
Personal assistant MCP server with search, execute, packages, jobs, secrets, and integrations.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ynishi/mlua-swarm'
If you have feedback or need assistance with the MCP directory API, please join our Discord server