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Connect to Swarm for memory, coordination, artifacts, and agent execution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "swarm-mcp" yet — see the docs or source repo.
Use swarm-mcp to connect to my Swarm space, retrieve Space memory related to “Q3 product launch,” and summarize key decisions, action items, and related document links.
A structured summary with past decisions, current tasks, and traceable references.
Using swarm-mcp, create a workflow where one agent gathers competitor information, another builds a feature comparison table, and a third produces conclusions, then combine the final results.
A multi-agent collaboration result including task breakdown, artifacts, and final consolidated conclusions.
Use swarm-mcp to load the context pack for the customer support assistant project, run the existing evaluation flow, and identify the 5 lowest-quality responses with improvement suggestions.
A summary of evaluation results, a list of low-scoring cases, and targeted improvement recommendations.
Lets AI agents inspect fact-check scope, evidence gaps, and review requirements.
Coordinate independent AI agents into an engineering team with structured execution and review.
Connect MCP clients to GenSwarms fleets for monitoring, configuration, and control.
Manage Docker Swarm services, stacks, configs, and secrets with streamlined context-aware control.
Connect to the mcp API via MCP to extend AI tool capabilities.
Configure, run, debug, and analyze SWMF space weather modeling workflows.