$ loading_
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.
Enable coding agents on one machine to discover and collaborate together.
Lets AI agents inspect fact-check scope, evidence gaps, and review requirements.
Connect MCP clients to GenSwarms fleets for monitoring, configuration, and control.
Manage Docker Swarm services, stacks, configs, and secrets with streamlined context-aware control.
Use natural language to explore, call, and test Swagger/OpenAPI APIs.
Search and retrieve API documentation from an internal Swagger platform via MCP.