Labsco
MCP SERVER

Claude Swarm MCP Server

by Mayank1805

Create named specialist agents, talk to each one, and keep their conversations across restarts.

Reasoning Scaffolds & Agent Workflow Engines
Summary
Specialists that persist, rather than a fresh persona each time.

Persistence is what separates this from writing a role into the prompt: an agent keeps its instructions and its history between sessions, so ask the risk analyst means the same thing tomorrow as it did today.

What it is

A Python MCP server for multi-agent orchestration on Claude. Agents are created with their own instructions, stored locally so they survive a restart, and addressed by name; one call builds a four-role financial analysis team.

What you get
  • Agents created with a name and custom instructions, and deleted when finished with
  • Every agent listed
  • A message sent to a named agent, and its reply returned
  • Conversation history kept per agent, and resettable
  • A finance team created in one call: risk analyst, portfolio manager, data analyst, research analyst
  • Agents and conversations stored locally, so they survive a restart
Requirements

Python 3.10+, Claude Desktop, and an Anthropic API key with billing enabled, supplied through the environment. Every agent call bills to that key.