Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.

Klavis AI is an open - source project that provides a multi - functional computing platform (MCP) for use on Slack, Discord, and web pages. It allows non - technical users to easily configure AI workflows, and developers can expand and build on it.

A Slack API server based on the MCP protocol that provides a standardized interface for AI assistants to interact with the Slack platform, supporting functions such as message sending, channel management, and user query.

MCP Workers AI is an SDK designed for Cloudflare Workers, used to integrate and call various MCP server tools, such as GitLab and Slack, to achieve automated operations through AI models.

A JSON-based unified interface dbt Model Control Protocol (MCP) server that supports triggering dbt model runs and tests through the CLI, API, or AI tools and provides Slack notification functionality.

MCP Server Notifier is a lightweight notification service integrated with the Model Context Protocol (MCP), which can send Webhook notifications when an AI agent completes a task. It supports multiple Webhook providers (e.g., Discord, Slack, Teams, etc.), provides features such as image support, multi - project management, and custom messages, and is easy to integrate with AI tools (e.g., Cursor).

Claude - Slack provides a Slack - like channel messaging infrastructure for AI agents, supporting multi - agent collaboration, project isolation, and knowledge persistence.

MCP is an AI chat system based on a client - server architecture, which supports extending the functions of Claude AI through multiple dedicated servers (file system, Slack, Brave search), enabling it to intelligently access local files, Slack conversations, and real - time web information.

MCP Server DevOps Bridge is a bridge project connecting DevOps tools and AI assistants, providing a unified natural language interface, supporting cross - platform integration and autonomous agent workflows, including the integration of platforms such as Azure DevOps, GitHub, and Slack, as well as an intelligent memory system.

MCP is an AI chat system based on a client - server architecture that can connect multiple dedicated servers (file system, Slack, Brave search), intelligently analyze user queries, and automatically select appropriate data sources to provide services.

A production-ready Model Context Protocol server that provides powerful tools for AI assistants to interact with Slack lists, supporting the creation, retrieval, filtering, and management of list items.

MCP is an AI chat system based on a client-server architecture that supports extending the capabilities of Claude AI through multiple dedicated servers (file system, Slack, Brave Search), enabling it to access local files, Slack workspaces, and real-time web information.

A localized AI-driven Slack search tool that enhances the functionality of Claude Desktop through the MCP protocol to enable private chat record retrieval

An MCP server integrating Devin AI with Slack, supporting conversation management and message interaction

A Slack server implementation based on the Model Context Protocol, providing a standard interface for Slack API functions, enabling AI models to interact with Slack through a standardized protocol.

An MCP server implementation that provides AI assistant integration for Slack workspaces.

An MCP Server Collection project that provides multiple service integrations for AI assistants, including functions such as search, file system, Git, GitHub, Shell, Figma, Slack, web scraping, and Notion. It enhances the capabilities of AI assistants through the Model Context Protocol.

This project uses the Quarkus framework and the Model Context Protocol (MCP) to implement an intelligent agent application based on multiple MCP servers. It combines LangChain4j to provide functions such as AI dialogue, restaurant recommendation, and Slack notification, and supports deployment in development and production environments.