stiege/swarm-mcp
Orchestrate parallel Claude agent workloads via Docker containers — MCP server with functional combinators, free monad pipelines, and monadic refs
Overview
stiege/swarm-mcp is a Python MCP server licensed under MIT. Orchestrate parallel Claude agent workloads via Docker containers — MCP server with functional combinators, free monad pipelines, and monadic refs
Ranked #61 out of 104 indexed tools.
Actively maintained with commits in the last week.
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Score Breakdown
3 stars → early stage
Last commit today → actively maintained
No issues filed → no history to score
1 contributor → solo project
No dependents → no downstream usage
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
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From the README
# swarm-mcp **Orchestrate parallel Claude agent workloads via Docker containers.** swarm-mcp is an MCP server that lets your Claude session spawn other Claude agents — each in an isolated Docker container — and compose their results using functional combinators. Instead of one agent doing everything, you describe the work as `run`, `par`, `map`, `chain`, `reduce`, and `pipeline` calls, and swarm-mcp handles container lifecycle, resource scheduling, and result plumbing. The agent outputs are lazy refs (metadata on the wire, text on disk) so you never blow up the MCP protocol with megabytes of agent output. --- ## Why swarm-mcp? - **True Docker isolation per agent.** Every agent gets its own container with its own filesystem, network policy, memory limit, and CPU quota. No shared state leaks between agents. A rogue `rm -rf /` in one container doesn't touch anything else. - **Monadic ref architecture (lazy by default).** Combinators return refs — small JSON objects with metadata (coRead full README on GitHub →
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