"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.

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.

A multi-agent collaborative development bridge that enables TRAE Work to offload complex tasks to Codex executor, with tools for task submission, status tracking, artifact listing, and permission management.

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 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 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 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.

Enables remote control of the Cursor AI agent via chat platforms like GitHub Issues or Telegram, allowing users to start sessions and receive summaries and prompts in a chat thread.

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

An MCP server that keeps raw tool output out of the context window by sandboxing and compressing results (about 98% reduction), persisting file edits, git operations, tasks and decisions in SQLite with BM25 retrieval so the agent resumes after compaction, and enforcing routing across 17 platforms via MCP and hooks. It also encourages the model to write scripts that compute answers and log only results instead of reading large data into context.

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.

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.

AI Design Blueprint is a doctrine and runtime standard for agentic AI: 10 principles, 16 laws, and Pro/Teams validators your coding agent calls over MCP.

Enables terminal AI coding assistants to interact with web AI chat services through browser automation, supporting multiple platforms like Doubao and ChatGPT.

Enables collaboration across Claude, GPT, and Gemini through a unified MCP interface, with configurable execution policies for synthesizing or directly delivering worker outputs.

MCP server for inter-agent communication. Gives multiple Claude Code sessions a shared message board, agent registry, and orchestration layer — backed by a cloud relay so agents can coordinate across machines, repos, and teams.

Lets teams operate their installed Narla AI agents from any MCP-capable assistant such as ChatGPT, Claude or Cursor, listing agents, tasks and business memory and drafting new tasks in plain language. Nothing executes until a human explicitly approves it, and every completed task retains a report of what the agent did and changed.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Agent-first skill marketplace MCP server. AI agents discover, install, and share skills across 7 platforms via MCP protocol. 15 tools including skill search, download, upload, and agent discovery.

Multi-conversation collaboration MCP server enabling cross-conversation memory, task delegation, and parallel workflow orchestration.

MCP server for bidirectional AI agent collaboration — 5 tools for spawning and communicating with any agent CLI

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

Provides access to a library of 18 specialized skills, project templates, and prompt patterns for Claude Code. It enables automated workflows for feature development, security audits, and system maintenance through multi-agent collaboration.

Enables selecting a saved Codex or Claude Code session from the same PC and importing its recent context into the other tool, so work can continue across clients with source and omission information.

Connects agentic platforms to one or more local or networked LM Studio instances, exposing chat, embeddings, model listing, health, and pool-status tools. Provides intelligent load balancing, automatic failover with circuit breaking, role-based routing, and a daemon mode with a real-time web dashboard and HTTP/SSE endpoints.

Enables AI assistants to control a browser through Cloudflare Workers, allowing them to perform web automation tasks like navigation, typing, clicking, and taking screenshots. Provides 14 browser automation tools that can be used with various AI platforms including Claude Desktop and VS Code.