An MCP server that enables searching for messages and listing channels within a Slack workspace. It provides tools to retrieve channel history and filter messages based on text matching and date ranges.
Enables complete Slack integration through natural language in Cursor IDE, supporting message sending, channel management, direct messaging, user lookup, reactions, and message search using the Slack API.
A FastMCP-based server that provides complete Slack integration for Cursor IDE, allowing users to interact with Slack API features using natural language.
Enables AI agents to interact with Slack through 20 specialized tools and resources for managing channels, messages, users, and files. It features built-in rate limit handling, safety controls for message sending, and full support for Slack Block Kit formatting.
Enables two-way communication between Claude and Slack for posting messages, managing threads, and handling files. It specifically supports asynchronous workflows by allowing Claude to poll for remote user replies and send task notifications.
MCP server for posting messages to Slack channels via webhooks or bot API. Supports configurable usernames, emojis, and both webhook and bot token authentication modes.
Integrates Slack channels and Slack Lists to automate bug report scanning and QA status management. It enables users to retrieve bug details, update list items, and post fix updates directly within Slack.
AI-powered chat assistant for banking microservices using Spring AI and Model Context Protocol (MCP). Interact with your microservices through natural language chat, view accounts, personal details, and transactions—all in one unified interface.
AI-native CRM with 33 tools. Pipeline, leads, health scores, revenue analytics, CSV import/export.
Generates AI-powered daily and weekly productivity summaries by analyzing your Slack messages, Google Calendar events, and Gmail activity with automated scheduling and smart filtering.
Manage your entire notification infrastructure using natural language. Trigger workflows, create users, manage preferences, update tenant branding, and access docs — all from Cursor, Claude Desktop, or Windsurf. 24 tools covering email, SMS, push, WhatsApp, Slack, MS Teams, and in-app notifications.
Enables AI assistants to search Slack messages and channels using the Slack Web API, with filtering options by user, date, channel, and content type.
Connects Claude to TeamSnap accounts to access teams, rosters, events, and availability data. Supports OAuth 2.0 authentication with optional AWS serverless deployment for permanent HTTPS callback URLs.
Enables AI assistants to send messages and interact with Telegram chats through MCP tools, with support for user management, conversation history, and bot command handling.
Bridges AI assistants to a Telegram bot to enable two-way messaging, interactive confirmations, and live status updates. It supports automatic voice transcription via local Whisper models and provides secure, single-user communication for MCP-compatible hosts.
An MCP server that enables interaction with Telegram to send, read, and search messages across chats and dialogs. It supports waiting for incoming messages and retrieving conversation history through natural language commands.
Enables interaction with the Telegram Bot API via the Model Context Protocol to send, edit, and delete messages, photos, and videos. It allows Claude to manage Telegram communications and fetch bot updates through natural language commands.
Enables searching and filtering Telegram group messages with advanced options for natural language date ranges and extended metadata. Users can retrieve message content, reactions, and media details using the search_messages tool.
A Model Context Protocol server that enables AI assistants to interact with Telegram, allowing them to search channels, list available channels, retrieve messages, and filter messages by regex patterns.
A comprehensive integration that allows AI models to interact with Telegram accounts for messaging, group management, and contact synchronization. It enables automated tasks like chat history analysis, message scheduling, and webhook-based responses through the Model Context Protocol.
