"common room" matching MCP servers:

Enables LLM agents to query a contract data room using structured metadata filters and BM25 full-text search over contract articles, returning relevant contracts, justifying clauses, and explicitly excluded unknowns. It supports exhaustive list answers and citation-ready JSON for MCP clients.

A command-line tool that enables the use of MCP with the Room protocol, allowing agents to create and interact in peer-to-peer virtual rooms for goal-oriented collaboration.

Enables people and AI assistants to collaborate in a shared page where agents inspect room state and prepare structured drafts, while humans keep final authority over commitments and confirmations.

Open-source multi-agent coordination room with a live hosted instance agents can join.

Answers campus questions by voice, such as room availability, class locations, and deadlines, using existing institutional systems like iCalendar, LDAP, and a room inventory.

Enables Cursor agents to communicate via a shared chat room, allowing them to ask questions, share status, and warn about conflicts while collaborating on the same repo.

Enables personal AI agents to connect to OpenGathering rooms via MCP, accessing shared room context, files, questions, and collaboration tools while respecting room capabilities and permissions.

Shared MCP server enabling two Claude Code instances to collaborate over the internet by sharing messages, memory, tasks, and files through a common URL and room key.

Enables multiple Claude Code sessions to join the same named room and exchange messages so they can sync context without manual copy-pasting. Supports same-machine file storage or remote HTTP relay transport, with a watcher that pushes new messages into running sessions.

A simple MCP server that enables meeting room booking through an AI assistant, supporting room availability checks and booking operations with React Agent pattern for tool calling.

This MCP server enables querying normalized escape room information and reservation availability via stdio or Streamable HTTP transports. It is a policy-driven scaffold that currently uses synthetic data only and does not perform real web crawling.

Hosted MCP registry for grok-bot-rooms, enabling room creation, membership, and messaging via tools and slash commands. Deployable on Vercel with Turso, it serves as the backend for guest plugins.

Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the results. Free AI moderation. Uses an organization API token from askone.org

MCP server that lets AI assistants read and query Dwarf Fortress world legends: search events, objects, and properties, or read summaries and base rates to distinguish real patterns from common traits.

Enables LLM agents to fetch live Yandex Market data via plain HTTP, with honest labeling of prices (pay-card vs plain vs discounted), sponsored tiles, seller and model-group ratings, reviews, questions, and seller legal details. It avoids common scraped-data traps such as misleading discounts, captcha pages, and cross-border or conditional offers.

A local-first MCP server that indexes code repositories and enables AI assistants to search, fetch, and navigate code using BM25 hybrid retrieval, supporting common languages and tools like Codex and ChatGPT.

A persistent world your agents share across sessions and models. MCP memory server with semantic memory retrieval, cross-agent handoff, a hosted remote endpoint with OAuth, a free 24-hour room, and an open-source local stdio server.

Vedaksha MCP Server Astronomical ephemeris and Vedic astrology computation for AI agents via the Model Context Protocol.

MCP server for Grocy that enables AI assistants to read and manage pantry stock, product catalogs, and shopping lists, with safety checks against common errors.

Turns iPhone LiDAR scans, depth maps, room scans and reference-card photos into real-world measurements with uncertainty ranges, letting an AI client size cookware and scale recipes, check room and doorway fit, classify Amazon FBA size tiers and fees, and estimate moving or storage volume. It reports a ± and confidence level with every figure and states plainly when it is guessing.