"Information about network devices" matching MCP servers:

A tiny TypeScript wrapper that exposes five stdio MCP servers (Gmail, Calendar, Sheets, Docs, Drive) as Streamable HTTP endpoints, enabling a single Docker host to serve all Google services to any MCP client.

Open-source cross-device clipboard manager with a built-in MCP server. Search and retrieve clipboard history synced across all your devices, read OCR text extracted from copied images, and add new items to the clipboard.

A read-only MCP server that allows Claude Code to securely access Zulip chat messages, streams, topics, and user information without modification capabilities.

Enables AI coding tools to search and read a user's Mattermost channels and DMs using their own account, allowing AI to answer questions about team conversations with read-only access.

A read-only MCP server that gives LLM agents deterministic operational facts about Trello boards, including structural history, card movement, workflow flow, staleness, and due-date information.

Connects an MCP client to an existing classic Outlook session on Windows so agents can browse stores and folders, list recent messages, run literal text and metadata searches, and read plain-text bodies with attachment metadata. All access is strictly read-only, with no sending, deleting, moving, or network connections of its own.

Enables AI assistants to interact with Slack workspaces, including listing channels, posting messages, replying to threads, adding reactions, and retrieving user information.

A read-only MCP server that transforms Deputy workforce records into operational workflows, enabling AI assistants to answer questions about coverage gaps, overtime risk, timesheet exceptions, availability conflicts, and staffing summaries.

Enables AI assistants to interact with Gmail and Google Docs, allowing them to send emails, create drafts, append content to documents, and retrieve document information.

Provides sprint and developer analytics from Jira, answering questions about sprint content, developer performance, and refinement readiness. Can publish reports to Confluence for easy sharing.

Enables interaction with the Runrun.it API for task management, including retrieving task details, listing tasks with filters, and fetching current user information.

Enables AI assistants to send and retrieve messages, access employee information, and interact with group chats via the SeaTalk API.

Shared clipboard across Mac and Windows. Get the latest clip (optionally only from another machine), search clipboard history across devices and list paired devices; passwords and API keys are withheld unless allowed.

Enables AI assistants to interact with Mural visual collaboration workspaces through OAuth 2.0 authentication, allowing users to list and retrieve workspace information.

Enables interaction with Google Spreadsheets through the Model Context Protocol. Supports reading, writing, appending rows, creating sheets, and retrieving spreadsheet information with Google Cloud service account authentication.

Reads the local Microsoft Teams (v2) message cache and exposes it over MCP, enabling AI assistants to list accounts/conversations and search/read messages without Graph API or network.

A local MCP server that provides a safe Google Workspace admin console, enabling AI agents to read users, groups, devices, and reports, with optional write operations gated by explicit confirmation.

Enables AI assistants to interact with Monday.com workspaces, allowing retrieval of board lists, board details, item content, and user information through the Monday.com API.

Integrates Rize.io's time tracking and productivity analytics with AI assistants via the Model Context Protocol, enabling natural language queries about productivity metrics, focus sessions, and project management.

Enables AI agents to collect and verify customer information by creating prefilled, branded form requests for individual recipients, reading their submissions, and building, publishing, translating, and sharing forms through a hosted MCP connection.

Enables AI apps like Claude, ChatGPT, Copilot, Claude Code and Codex to read and write a shared company wiki over MCP, where meetings, work sessions and notes become living pages about people, projects and decisions. It also serves search, briefs, transcripts, decisions and action items, and lets teams connect their own git-hosted team wiki.

Read-only MCP bridge connecting Claude Desktop to Merlin Project on Mac, allowing natural-language queries about plans, activities, resources, and project data.

Exposes every card type and feed action — reminders, learnings, work items, bookmarks, snooze, pin, favorite — to MCP-compatible AI assistants, so they can read and write a self-hosted personal feed through chat. Turns requests like "remind me Wednesday at 10" into stored cards and answers questions about what's on today.

Lets Cursor's AI agent read a public Google Calendar through the Model Context Protocol, so users can ask natural-language questions about events and schedules.

Enables AI assistants to securely connect to OpenProject workspaces and browse, query, and reason about projects, work packages, saved queries, and related metadata via the OpenProject REST API v3.

Enables transforming grounded AI answers into interactive information views such as comparisons, plans, checklists, timelines, and decision views, while preserving a plain-language fallback.

Enables Claude to interact with DingTalk workspaces to search for users, retrieve detailed employee information, and send private messages. It bridges the Model Context Protocol with DingTalk's internal enterprise APIs for seamless workspace communication.

Enables AI assistants to search recorded meetings, transcripts, and AI notes, retrieve recording details and share links, and manage recordings and team workspace information through a hosted OAuth-secured endpoint.

Enables AI assistants to interact with the Telegram Bot API, allowing them to send messages, forward messages, get bot information, and receive updates.

Enables full management of Todoist accounts, including projects, tasks, sections, and labels, through the Model Context Protocol. It provides a comprehensive set of tools for performing CRUD operations and managing user information via the Todoist API.