"Information on agent swarm architecture" matching MCP servers:

Enables code execution in isolated Docker containers with persistent IPython, Node.js, or R kernels, supporting file import/export and cross-session transfers via MCP tools.

Enables any MCP client to execute DeepSeek Harness agents and shell commands through standard MCP tools, bridging multi-agent capabilities with sandboxed execution.

Provides workspace-scoped file operations and command execution tools for building Cursor-style agents, along with system prompts and tool definitions for LLM integration.

Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.

Discovery router for the agent-device CLI with status, install, help, prompts, and resources.

Enables ChatGPT to work directly on local projects by reading files, editing code, running tests and commands, inspecting Git state, and managing durable workflows, with optional delegation to local Codex agents for complex tasks.

A download tool for AI agents that wraps aria2 with safety rules and MCP server support, enabling reliable downloads without false positives.

Creates and manages multi-agent teams of AI coding assistants (Claude Code, Codex CLI) that collaborate in tmux terminal sessions. Enables a leader agent to assign sub-tasks to team members for coordinated development.

Local automation bridge that is both an MCP server and client: 234 tools across 44 namespaces for shell, filesystem, git, desktop control, browser (CDP), Android (ADB), OCR/ASR and memory, plus the ability to connect external MCP servers. Sandboxed execution with token auth, fail-closed policy and audit log.

Local daemon that bridges AI assistants to the local filesystem with read-only commands and optional write mode, enforcing strict security filters to prevent credential leakage.

MCP server for persistent SSH sessions with tmux integration, port forwarding, and SFTP file writes, built for AI agent workflows.

An MCP server that bridges CLI coding agents like Claude Code, Codex, opencode, and Antigravity into any MCP client, enabling synchronous and asynchronous task execution, follow-up input, and a structured code review tool.

MCP server for controlling iTerm2 terminal sessions, enabling screen reading, command execution, keystroke sending, and session management through natural language.

Enables AI models to operate on a Windows PC through local filesystem and terminal MCP tools, with token auth and active project switching.

MCP wrapper for the agent-msg.sh file-based message bus, enabling MCP-compatible clients to send, receive, and manage inter-agent messages with bound identity and HMAC-signed payloads.

A programmable terminal control plane that enables AI agents to orchestrate, monitor, and interact with multiple parallel AI CLI sessions and browser instances within CMUX. It provides over 80 tools for workspace management, pane manipulation, and cross-agent communication to facilitate complex multi-project workflows.

Local MCP server that lets AI agents read and control attached Xshell terminal sessions.

Enables ChatGPT web to use local tools like file reading, command execution, and patch application through an MCP server over OpenAI Secure MCP Tunnel.

Enables AI agents to safely execute privileged commands by routing them to a human approver, who runs them outside the agent's context and returns the output to the model.

An MCP server that exposes a sandboxed task runner protocol to any MCP client, enabling evidence-protected task execution, exit protocol reading, and autopsy reports.