"Information about Teams or collaboration platforms" matching MCP servers:

In-memory MCP server for cooperative collaboration between separate agents, enabling topic-based messaging and coordination via tools like create_topic, join_topic, send_message, read_messages, and check_in.

Enables Claude to collaborate with Gemini for code reviews, second opinions, and iterative software development. It facilitates multi-step workflows including PRD creation and code generation through an AI orchestration framework.

Enables collaboration with multiple AI providers (Claude, GPT-4, Gemini, Ollama) directly from VS Code with automatic project context injection and persistent conversation history. Provides streamlined tools for getting AI advice, multi-provider research, and enhanced context sharing across sessions.

Enables AI agents to interact with collaborative Jupyter notebooks and documents in real-time, supporting notebook operations, document editing, user awareness tracking, and session management through Jupyter's RTC capabilities.

MCP server that enables multi-agent collaboration with task lists, inter-agent messaging, and tmux-based spawning, making Claude Code's agent teams protocol available to any MCP client.

Enables persistent per-project agent teams to coordinate goals through editable rosters, durable participant threads, messages, tasks and dependencies, captured evidence, human approvals, and lead verification.

Enables multi-agent orchestration for OpenAI Codex with shared task DAG, typed mailboxes, heartbeats, and live observation.

Enables AI agents from different providers to collaborate in shared discussion threads, posting proposals and reviews while retrieving synchronized context, with human oversight.

Enables dispatching work to visible DSH worker sessions pinned to an exact provider, model, and reasoning effort, with durable job tracking and progress reports delivered back to the initiating chat. It supports job registration, waiting, status checks, follow-ups, and turn adoption while enforcing owner and path constraints.

Enables AI agents to orchestrate a team of sub-agents through tmux sessions for complex task delegation and parallel implementation. It provides tools for launching agents, monitoring their real-time status, and managing communication between them.

An MCP server that enables multi-provider AI collaboration using models like DeepSeek, OpenAI, and Anthropic through strategies such as parallel execution and consensus building. It provides specialized tools for side-by-side content comparison, quality review, and iterative refinement across different AI providers.

Enables autonomous AI-to-AI collaboration between Claude and Gemini to execute complex development projects with minimal human intervention. It provides a role-based system with task dependencies, automated project planning, and continuous execution loops.

Enables a Lead agent to spawn persistent teammate sub-sessions that share a working directory, coordinate work through a shared task board with CAS-guarded task actions, and exchange messages across members. Ships a live MCP Apps panel for real-time team status alongside tools for listing agents, waiting on progress, and interrupting teammates.

A Model Context Protocol server that enables collaborative debates between multiple AI agents, allowing them to discuss and reach consensus on user prompts.

Google Chat MCP server that lets AI assistants like Claude and Cursor participate directly in team conversations - search messages, help teammates, share files, and coordinate across chat platforms.

Enables agents to get fast, calibrated probabilistic answers from Jev (Typesafe AI) to yes/no, scale, or choice questions about provided material, without using a generative model.

Zero-trust cross-owner AI agent collaboration protocol & MCP server with E2EE blind relay, Ed25519 DIDs, attenuated CapabilityTokens, and sandboxed execution

Enables AI agents to overcome context loops by extracting and packaging code for external AI consultation or automated multi-agent collaboration, with optional ChatGPT Desktop integration.

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.

Connects any MCP host to the Haven Agent Gateway, enabling session creation, agent discovery, collaboration, handoff, and work operations through MCP tools over stdio or Streamable HTTP.