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Integrates with the Notion API to manage personal to-do lists using the Model Context Protocol.
Enables AI models to seamlessly manage and interact with various email services.
Connects AI language models with Microsoft OneNote for enhanced interaction.
Enables AI assistants to manage Gitea and Forgejo repositories, streamlining development workflows.
Enables AI models to interact with Notion's API for advanced todo management and content organization.
Integrates Fibery with LLM providers, enabling natural language interaction with your Fibery workspace.
Bridges Cocos Creator and Cursor AI for synchronized log information, aiding in efficient problem analysis and resolution.
Enables Claude to interact with Microsoft Outlook for macOS to manage emails, calendar events, and contacts.
Enables AI assistants to manage Google Contacts, search the organization's directory, and interact with Google Workspace.
Enables LLMs to interact with Logseq graphs, create pages, manage blocks, and organize information programmatically.
Systematically refines thoughts and designs through iterative drafts and focused critiques using AI.
Facilitates integration with Confluence and Jira by providing functionalities to execute queries and manage content.
Enables Claude and other MCP clients to interact with Mattermost workspaces by providing tools for managing channels, messages, users, and monitoring topics.
Integrates Notion into AI workflows through a Model Context Protocol (MCP) server, allowing AI agents to interact with Notion pages and databases.
Coordinates agents by hosting finite state machines as dynamic resources, enabling real-time updates based on state changes.
Enables interaction with Slack workspaces to post messages and query user lists via a Model Context Protocol client.
Integrates Gyazo images into AI workflows via the Model Context Protocol.
Manages dynamic AI personas through a Model Context Protocol (MCP) server with an integrated GitHub-powered marketplace.
Enables AI assistants to break down user requests into manageable tasks with subtasks, dependencies, and notes.
Enables access to Jira data with relationship tracking, optimized data payloads, and data cleaning for AI context windows.
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