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Enables interaction with Jupyter notebooks running in a local JupyterLab environment using the Model Context Protocol (MCP).
Provides AI models with access to Zoom's API capabilities through a Model Context Protocol (MCP) server implementation.
Facilitates AI agent communication and collaboration through a server-sent events (SSE) based system.
Facilitates persistent memory, structured thinking, and collaborative knowledge management for AI-driven development.
Enhances GitLab servers with merge request review comment posting functionality.
Provides a comprehensive Model Context Protocol (MCP) server for seamless integration with the Freedcamp API.
Provides a Model Context Server for GitHub, enabling enhanced AI assistant functionality within Zed.
Enables LLMs to search and retrieve data from a Slack workspace.
Fetches comments from GitHub Pull Requests, including file paths, line ranges, and replies, using a personal access token.
Enables interaction with a Notion workspace through Claude and other LLMs.
Enables interaction with the Jira API through the Model Context Protocol, allowing LLMs to manage and retrieve information from Jira.
Integrates AI assistants with Azure DevOps for managing work items, pull requests, and wikis.
Enables Claude to interact with ClickUp workspaces via an MCP server.
Integrates with Cal.com Calendar API to provide appointment scheduling functionalities.
Enables LLMs to interact with Lark/Feishu services via a Model Context Protocol (MCP) server.
Facilitates software development planning by creating goals, managing to-do lists, and tracking task status.
Enables management of Google Calendar events through a Model Context Protocol (MCP) server.
Integrates ClickUp with the Model Context Protocol to enable note management and summarization.
Manages Todoist tasks using natural language commands through an MCP-compatible client.
Provides a conversational-first platform for time tracking and collaborative project management leveraging the Model Context Protocol.
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