"Swarm" matching MCP servers:

Orchestrate parallel Claude agent workloads via Docker containers with combinators for parallel execution, map-reduce, and pipeline workflows.

An MCP server that extends AI coding assistants with deterministic, algorithmic capabilities such as code analysis, fault localization, and formal verification, enabling an autonomous engineering team within the IDE.

MCP server that executes Blueprint workflows (flow.ir) with swarm operations, dispatching agent steps to backends like Lua, Rust, processes, or interactive Operator sessions.

An AI engineering team for embedded firmware, lab automation, and hardware drivers. It uses 53 specialized experts and a datasheet-to-release pipeline to produce auditable, hardware-aware code.

MCP server that lets multiple coding-agent sessions on the same machine discover each other and collaborate through a shared SQLite database.

Orchestrates parallel Claude Code worker swarms with protocol-based behavioral governance for multi-hour autonomous coding sessions.

An MCP server that exposes Swarm's fact reconciliation to AI agents, allowing them to query scope, evidence gaps, and review requirements without being able to issue a final verdict.

Orchestrates multiple Claude Code instances into a collaborative swarm for real-time task delegation, message exchange, and code snippet sharing. It features peer discovery, status tracking, and a centralized web dashboard to monitor coordinated activity across sessions.

This MCP server enables LLM hosts to plan large tasks and delegate subtasks to specialized local CLI agents, such as Codex and Claude Code, using tools like delegate_task and get_agent_roster.

Wraps OpenAI's Codex CLI with true parallel task execution, worktree isolation for conflict-free runs, and live monitoring of each task.

Enables browser automation with concurrent tab pool management using Puppeteer. Supports navigation, content extraction, screenshots, element interaction, and JavaScript execution across multiple browser tabs with auto-recovery and idle timeout features.

Enables local auditing of trading strategies through MCP checkers for point-in-time data provenance, pre-trade order validation, and regime-fragility testing, while deferring promotion verdicts to a hosted service.

Turns web-based AIs into full-powered agents with local PC access, 33 tools across 8 categories, and parallel swarm orchestration with real-time validation.

An MCP server that exposes an append-only, SQLite-backed event log for parallel research agents, providing append_delta, pull_deltas, and list_tasks tools over stdio.

Enables multi-agent orchestration and coordination using specialized, persistent Claude agents for complex workflows like financial analysis and research. It supports intelligent agent handoffs, local storage, and pre-built team templates through Claude Desktop.

Troubleshoot nTop issues with AI-powered error diagnosis, swarm analysis, screen capture, and macro automation.

Enables controlling an autonomous multi-agent engineering swarm from MCP clients, including starting and managing tasks, spawning agents, triggering PR reviews, and checking swarm status.

Enables AI agents to browse, match, and hire agents from the 0rca Swarm Dojo marketplace, including task creation and result retrieval.

An Agent Framework Documentation server that enables AI agents to efficiently retrieve information from documentation databases using hybrid semantic and keyword search for seamless agent integration.

Enables bug localization by analyzing a repo and bug report with an ant-swarm LLM, returning a HOT/WARM/COLD heatmap and JSON audit trail via MCP.