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Provides remote access to BluestoneApps coding standards and code examples via the Model Context Protocol (MCP) over HTTP.
Connects AI assistants to Linear's project management capabilities via the Model Context Protocol.
Fetches Quip document spreadsheet data and returns it in CSV format.
Integrates Grain meeting recordings and transcriptions with Model Context Protocol (MCP).
Manages Todoist tasks using natural language commands through an MCP-compatible client.
Enables advanced automation and interaction with GitHub APIs through a Model Context Protocol (MCP) server.
Enables Claude to interact with Gmail, Google Calendar, and Google Contacts for email and calendar management.
Connects AI development tools to CodeRide, an AI-native task management system, enabling project understanding, task automation, and collaboration.
Integrates Float.com's resource management and project planning platform with AI assistants via the Model Context Protocol.
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.
Enables LLMs to interact with Discord channels, sending and reading messages through Discord's API.
Empower AI coding assistants to access fresh service knowledge, routing rules, and code snippets for human experts directly within prompts.
Exposes a comprehensive set of tools for managing Jira issues, projects, and workflows, enabling AI clients to safely automate tasks.
Provides a production-ready Model Context Protocol (MCP) server to manage Google Calendar events and Google Meet conferences with robust security and enterprise features.
Facilitates collaborative idea formation and sharing for multiple users on a web application.
Enables AI agents to efficiently manage GitLab operations with substantial token savings.
Automates the entire GitHub contribution workflow, from issue analysis and code changes to pull requests and conflict resolution.
Defines professional AI skills using Markdown and YAML, loading them into AI IDEs like Claude Code and Cursor via the Model Context Protocol (MCP).
Provides a persistent, structured context layer for AI agents to build world models and for humans to align, audit, and collaborate through natural language.
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