Remote MCP server providing 200+ Feishu tools (messages, calendar, Bitable, etc.) for Amazon Quick Desktop, hosted on AWS Bedrock AgentCore with multi-user OAuth isolation.
Enables comprehensive Google Meet and Calendar management through Google Calendar API v3 and Google Meet API v2, supporting calendar event creation with Meet links, space management, transcription, recording, attendance tracking, and meeting moderation controls.
Enables AI clients to read and write in one supported IM platform—Feishu, Lark, DingTalk, or WeCom—as the signed-in individual user through per-user credentials, OAuth, and curated tools plus full vendor CLI access.
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
Enables AI assistants to interact with LinkedIn and LinkedIn Sales Navigator for searching profiles, managing leads, and handling messaging via cookie-based authentication. It supports professional networking tasks such as sending connection requests and retrieving account details through the Model Context Protocol.
Production-ready MCP server enabling AI assistants to interact with Braze's customer engagement platform, offering 92 tools for user management, messaging, campaigns, analytics, email/SMS, catalogs, and SCIM provisioning.
Combines KC Chat Panel session interaction with AgentDock computer control tools, enabling Cursor Cloud Agent to chat and operate the local machine via AgentDock.
Enables Bedrock agents to act as a Lark user, performing document operations (list, create, edit, delete) and identity verification via Lark's REST API, with per-user credential injection through a Gateway Interceptor.
lets you interact with your meeting data (to list, ask, summarize, extract - virtually anything about your meeting) through Claude’s desktop client across Zoom, Google Meet and MS Teams via tl;dv.
Enables agents to adjust message formality, brevity, tone, and technical depth based on channel context, user cognitive load, and sentiment feedback. It runs as a zero-dependency, MCP-compatible server for consistent communication across interactions.
Automates WeChat on macOS using Accessibility APIs and screen capture, focusing on Excel-driven contact requests, add-friend flows, and friend-request status checks for local outreach workflows.
Enables permission-checked search of past chat history that links older messages with the latest activity, returning supporting context such as timestamps, speakers, and surrounding conversation. Authorization is re-verified against current room membership and approved groups on every search, message fetch, and period read.
Enables AI agents to notify users via Telegram or Discord when tasks complete, then wait for and receive the user's reply as the next instruction within the same session.
Enables AI assistants to send real faxes through the FaxDrop API. Provides safeguards including rate limiting, dry-run mode, and audit logging for secure fax operations.
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.
Enables Claude to make outbound phone calls through Vapi API, supporting any call type and language with features like call initiation, result polling, and structured data extraction.
Send and read SMS through your own Android phone via textbee.dev, the open-source SMS gateway. Three tools for Claude, Cursor, and any MCP client: send_sms, get_messages (replies, verification codes, delivery status), list_devices. Self-hosted friendly.
Turns team chat (Slack, Discord, MS Teams, Mattermost) into a living knowledge base - a typed knowledge graph plus auto-generated wiki - exposed to AI agents through a 28-tool MCP server with semantic search, expert finding, and decision tracing.
Enables AI agents and CLI workflows to send push notifications to a user's phone when a task finishes, fails, or needs attention. Exposes a notify_human tool with a markdown-capable message and an optional channel tag, keeping the send key out of the model's context.
Enables AI chat sessions to exchange messages and structured data with each other, preserving provenance and conversation threads, so work in one chat can be reused in another without manual copying.
Lets an AI agent ask its owner first, on their phone, before doing something irreversible: ask_approval blocks until a person answers and distinguishes DENIED from NO ANSWER, so a timeout is never read as consent. send_notification covers one-way alerts with priorities and quiet hours.