"Information about Microsoft Teams" matching MCP servers:

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 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 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 LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

A lab demonstrating how to deploy a Model Context Protocol (MCP) server and integrate it with Microsoft Copilot Studio, allowing users to connect AI models to different data sources and tools through a standardized protocol.

Enables connections to Azure AI Agents within any MCP client, allowing users to leverage Azure AI Foundry's models and knowledge tools like Azure AI Search and Bing Web Grounding through a conversational interface.

A server implementing the Model Context Protocol (MCP) that delivers jokes upon request, demonstrating how to connect AI models to data sources and tools within Microsoft Copilot Studio.

An MCP server that fetches jokes from multiple sources (Chuck Norris, Dad jokes, and Yo Mama jokes) and integrates with Microsoft Copilot Studio to create a humor-focused conversational experience.

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.

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.

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.

Enables AI agents to control legacy web applications running in Microsoft Edge's IE Mode via MCP, using Selenium WebDriver and IEDriverServer for browser automation.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

Turns Claude Code into a self-driving AI company with autonomous CEO, agent teams, and self-improvement capabilities.

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.

Enables MCP-compatible clients to manage AI agent teams, including agents, Kanban issues, projects, goals, approvals, budgets, and raw API access.

A Model Context Protocol server that connects to Mattermost, allowing AI models to monitor and process messages from specific teams and channels in real-time via SSE or Standard I/O transport modes.

Provides LLM tools to interact with the Devici API, enabling management of threat modeling resources including users, collections, threat models, components, threats, mitigations, and teams.

Enables teams and their existing AI agents to join shared live sessions over MCP, where participants can watch an agent work, redirect it, and hand off tasks while each agent keeps its own credentials and machine.

It enables Microsoft Copilot Studio agents to connect to and use MCP-based tools, such as fetching jokes, through an Azure-deployed server and Power Platform connector.

Enables teams to access every enabled MCP tool through one authenticated URL, with per-user attribution and audit logging, from MCP clients or a dashboard chat agent.

Enables AI assistants to connect to an already-running Microsoft Edge session through a persistent tunnel, reusing existing login sessions while protecting original tabs and restricting browser tools by default.

An MCP server that enables Microsoft Copilot Studio to fetch random jokes from multiple sources including Chuck Norris jokes, Dad jokes, and Yo Mama jokes.

Enables users to retrieve jokes from various categories including Chuck Norris jokes and dad jokes. Provides a humor-focused tool that can be integrated into Microsoft Copilot Studio agents for delivering appropriate and engaging jokes upon request.

Secure, local-first collaboration layer for AI agent teams, enabling authenticated agent-to-agent communication, shared memory with provenance, and scoped service execution through MCP.

Smart AI workflow for Cursor teams with intelligent prompt routing, real-time cost optimization, and team analytics.

This MCP server enables AI agents and teams to coordinate through shared inboxes, threaded conversations, attachments, expiring file reservations, prompts, and live notifications, while replaying missed events after restarts.

A secure MCP (Model Context Protocol) server hosted on Google Cloud Run that enables team collaboration by providing authenticated access via Google Cloud IAM, allowing teams to share custom MCP servers over the internet before official MCP authentication is implemented.

Enables teams to govern agent tool use by onboarding remote MCP servers, setting function-level allow lists and credential modes, and exposing user-composed bundles through a unified MCP endpoint with search and execute functions while auditing calls.

A task orchestration system for AI agent teams that provides a Kanban dashboard and 12 MCP tools to manage multi-step workflows with DAG dependencies. It enables agents to coordinate through task threads, automated retries, and real-time webhook notifications.

A server that enables AI models to access user geolocation information via EdgeOne Pages Functions through the Model Context Protocol.

A transparent message ferry between Claude Desktop and Claude Code CLI, enabling task delegation with any MCP configuration without the bridge needing to know about specific MCPs.

Gives agent teams a crash-safe shared memory on FalkorDB, where writes from a team that has lost its lease are fenced instead of overwriting current state. Late or conflicting life-safety reports are kept, linked to what they contradict, and escalated to a human for re-triage.

Enables Microsoft Copilot Studio agents to fetch and deliver jokes on demand through the Model Context Protocol. It is published as a Power Platform custom connector, so access benefits from enterprise security, governance, and real-time data capabilities.

A self-hosted work dashboard for AI agent teams, where agents create and manage tickets through MCP tools and humans review an awaiting-human queue backed by an append-only event log. Enables ticket lifecycle management and evidence-based provenance tracking.

Enables AI coding agents and teams to turn GitHub Projects v2 into an autonomous task substrate for registering, claiming, tracking, reviewing, and completing work, while also supporting AI-powered PRD generation, sprint planning, issue triage, roadmap creation, GitHub Actions/releases/branches, and MCP resources/prompts.

Enables teams to onboard remote MCP servers, enforce function-level permissions and credential modes, and let developers expose permitted tools through a unified MCP endpoint with search and execute functions while auditing usage.

Production-ready integration of Microsoft Agent Framework with MCP, enabling AI agents to access tools like weather queries, calculations, and Taiwan stock prices through SSE/HTTP streaming transport with Azure OpenAI GPT-4 backend.