Add mcp-swarm: parallel Claude agent orchestration via Docker#1072
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stiege wants to merge 1 commit intomodelcontextprotocol:mainfrom
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Add mcp-swarm: parallel Claude agent orchestration via Docker#1072stiege wants to merge 1 commit intomodelcontextprotocol:mainfrom
stiege wants to merge 1 commit intomodelcontextprotocol:mainfrom
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Adds io.github.stiege/mcp-swarm to the registry. mcp-swarm is an MCP server that lets Claude Code orchestrate N parallel agents in Docker containers using functional combinators (map, par, chain, reduce, map_reduce, pipeline), lazy monadic refs, and a natural language type system for semantic output validation. PyPI: mcp-swarm 0.1.1 GitHub: https://github.com/stiege/swarm-mcp Docs: https://stiege.github.io/swarm-mcp Ownership verified via <!-- mcp-name: io.github.stiege/mcp-swarm --> in README.
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Server details
Name:
io.github.stiege/mcp-swarmPyPI package:
mcp-swarm(v0.1.1)GitHub: https://github.com/stiege/swarm-mcp
Docs: https://stiege.github.io/swarm-mcp
What it does
mcp-swarm is an MCP server that gives Claude Code the ability to orchestrate N parallel agents, each running in an isolated Docker container. It provides functional combinators for composing agent work:
run— single agent in isolationpar— N agents in parallelmap/map_reduce— fan-out over inputs, optional synthesischain/pipeline— sequential stages withon_fail,nextjumps,max_retriesfilter/retry/guard— type-validated loopsreduce— synthesise multiple results into oneOutputs are lazy refs (metadata only) until
unwrap()materialises the text — so a pipeline fanning out to 50 agents doesn't flood the MCP protocol.The natural language type system lets you define what agents should produce as markdown prose ("The analysis must identify at least 3 risk factors"), validated by a LLM judge returning
VALID/PARTIAL/INVALIDwith per-criterion feedback.Ownership verification
The
<!-- mcp-name: io.github.stiege/mcp-swarm -->comment is present at the top of the README.md.Install