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Connects Notion pages with Claude for querying and updating content.
Enables AI assistants to interact with Figma through the Model Context Protocol (MCP).
Extends Slack's MCP server with custom functionalities for Claude to interact with Slack workspaces.
Integrates with Glean's Chat API using the Model Context Protocol to enhance conversational AI capabilities.
Integrate Google's Gemini AI models with Claude through the Model Context Protocol.
Enables AI agents to vocalize responses to users via text-to-speech.
Integrates AI assistants with ClickUp to programmatically manage tasks, lists, and projects across workspaces.
Enables Claude to interact with Mattermost, facilitating message search, user lookup, channel management, and team information retrieval.
Enables AI assistants to manage AgilePlace projects and tasks through a comprehensive Model Context Protocol (MCP) server.
Facilitates secure collaboration among multiple LLM agents using the Model Context Protocol, featuring advanced safeguards, auditable logs, and rate limiting.
Integrates Eureka Labo task management with Claude Code, automatically tracking development work and git changes for a streamlined workflow.
Enables AI agents to manage merge requests and issues, review code, and post comments directly within GitLab repositories.
Streamline Google Calendar management by handling events, checking availability, and scheduling meetings efficiently.
Manages Microsoft 365 Outlook services like tasks, calendar, email, contacts, and Teams directly from the command line.
Manage tasks, projects, sections, labels, and comments in Todoist using natural language conversations with Claude.
Coordinates multi-agent collaboration between AI coding assistants like Cursor and Claude Code, offering structured task management, review loops, and configurable strategies.
Integrate with Zentao to manage tasks, executions, and users using natural language or YAML configurations within Claude Code/Desktop.
Integrates Claude with the Runrun.it API to manage tasks, users, and projects directly via Model Context Protocol (MCP) tools.
Integrate AI assistants directly with Bitbucket pull requests to automate code review workflows and interactions.
Enables AI agents to maintain and share project-level understanding across sessions and machines.
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