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Provides remote access to BluestoneApps coding standards and code examples via the Model Context Protocol (MCP) over HTTP.
Connect DevOps platforms via a natural language interface using AI.
Connects to a traQ instance as a data source for LLMs via the MCP protocol.
Integrates Linear issue tracking functionality with AI models via a standardized MCP interface.
Integrates Grain meeting recordings and transcriptions with Model Context Protocol (MCP).
Enables Claude to interact with Gmail, Google Calendar, and Google Contacts for email and calendar management.
Enables comprehensive Slack API integration, facilitating message sending, channel management, user retrieval, file uploads, and even a Pomodoro timer.
Integrates with Jira Cloud to query boards, issues, user information, and more.
Streamlines secure interaction with Google Workspace APIs by managing request complexities, authentication, and error handling for services like Drive, Calendar, and Gmail.
Integrates AI assistants with Cozi Family Organizer to manage family members, lists, and calendar events.
Manages tasks and projects with a local-first approach, facilitating symbiotic collaboration between human developers and AI assistants.
Integrates FOAAS (Fuck Off As A Service) operations as Model Context Protocol tools for AI clients to generate humorous, explicit responses.
Automates Discord management and interactions through a production-ready Model Context Protocol (MCP) server.
Automates the setup and integration of a Linear, GitHub, and Claude Code workflow for AI-powered development, issue tracking, and workflow automation.
Enables an AI agent to interact with Bitbucket Cloud repositories, pull requests, and branches.
Automates the entire GitHub contribution workflow, from issue analysis and code changes to pull requests and conflict resolution.
Integrates leading AI models with live human engineers directly within your terminal.
Defines professional AI skills using Markdown and YAML, loading them into AI IDEs like Claude Code and Cursor via the Model Context Protocol (MCP).
Orchestrates the entire lifecycle of AI-assisted development projects from concept through implementation and integration.
Facilitates secure, browser-based collaborative writing between humans and AI using Markdown, ensuring data remains on your local machine.
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