"Swarm" matching MCP servers:

An MCP server that provides access to Foursquare Swarm check-in data, enabling AI assistants to query check-in history, stats, top venues, and venue details.

MCP server for Ethereum Swarm decentralized storage. Provides 12 tools for uploading and downloading data and files, managing postage stamp batches, and working with Swarm feeds — all via the Bee API. Works with the public Swarm gateway or a local Bee node.

Enables MCP-compatible clients to connect to Swarm, providing access to Space memory, work coordination, artifacts, evaluations, context packs, and agent execution tools.

A multi-model agent swarm coordinator that automatically selects the most suitable LLM based on task content and role requirements. It provides tools for automated model selection, direct model interaction, and task analysis across a variety of specialized AI models.

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 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.

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

MCP server that provides 160 specialist AI agents as parallel sub-agents and MCP tools for tasks like security auditing, API design, DB schema design, and more. It is local-first with BYOK support and integrates with 12+ IDEs.

Enables agent settlement, trust verification, and ledger operations for multi-agent workflows, with tools for blueprint management, credit tracking, and provenance recording.

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.

Enables parallel research across multiple cheap AI worker models, splitting a question into sub-questions and synthesizing one sourced answer with references.

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.

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.

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.

An MCP server that lets multiple AI coding agents coordinate as a swarm, with agent registration, task queues, messaging, a shared knowledge base, and fleet-wide machine capacity tracking.

MCP server that exposes T54 x402 seller SKUs from OpenAPI as tools: contract triage, audit, and monitoring plus T54 commerce tools. HTTP 402 invoices are paid via x402_broker_client (XRPL / Base USDC depending on env); stdio for Cursor/Claude, Streamable HTTP for hosted use.