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    DevsContext is an MCP server that provides AI coding agents with synthesized engineering context—requirements, decisions, architecture, and standards—from tools like Jira and Slack. It fetches and synthesizes relevant information on demand to help agents work on tasks correctly.
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    MIT
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    FastMCP server that pages on-call via 100+ notification channels (WhatsApp, Telegram, Slack, etc.) built on Apprise, with credential redaction and channel filtering.
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    MIT
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    Connects Claude with Matrix/Element to read and search messages across rooms. Enables listing rooms, viewing room information, retrieving message history, and searching conversation content from your Matrix account.
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    Safely schedule Outlook meetings on on-prem Exchange EWS with room-aware slot suggestions, local credentials, preview-confirmed writes, and audit-friendly lifecycle records.
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    Enables Claude Desktop to manage your LinkedIn profile and company pages, including posting, reading posts, and fetching profile information.
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    A server implementing Model Context Protocol that enables AI assistants to interact with Slack API through a standardized interface, providing tools for messaging, channel management, user information retrieval, and more.
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    Apache 2.0
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    Exposes the Telegram Bot API as tools for Claude Code or any MCP client, enabling message sending, chat management, file handling, and bot information retrieval.
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    A Model Context Protocol server implementation that enables AI assistants to interact with Slack workspaces, allowing them to browse channels, send messages, reply to threads, add reactions, and retrieve user information.
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    Enables querying and retrieving content from Confluence through CQL searches and page content fetching, allowing Claude to seamlessly access information stored in Confluence workspaces.
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    Enables full access to your personal Telegram account via MCP, allowing reading, sending, and searching messages, managing chats, and retrieving user information through natural language commands.
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    MIT