Enables automatic GitHub issue creation from Git diffs. Generates structured issue templates with summaries, technical notes, and appropriate labels based on code changes.
A dynamic service that creates and manages Model Context Protocol (MCP) servers, allowing users to spawn, customize, and control multiple MCP servers as child processes.
Enables interaction with Linear resources through an MCP interface, offering functionality for issue management and resource retrieval with rate limiting and error handling support.
Cache-first MCP server for Linear that provides tools to search, read, create, update, and comment on issues and projects, caching data locally to reduce API calls and respect rate limits.
A minimal MCP server that enables AI assistants to manage a kanban issue board. It provides tools for listing, creating, updating, and deleting issues with support for both local development and team deployments.
A MCP server that bridges LLMs with GitHub repository management, enabling automated analysis of pull requests, issue management, tag creation, and release management through natural language.
Enables interaction with Jira through OAuth 2.0 to create and manage issues directly from MCP-compatible clients. It supports secure authentication and local token caching to facilitate automated task management within Jira projects.
MCP server for Yahoo Mail over IMAP+SMTP that enables AI assistants to manage emails fully—listing, reading, searching, threading, flagging, moving, archiving, handling attachments, and sending/reply/forward/draft—using an app-specific password.
Enables AI agents to manage Linear workspace resources such as issues, projects, teams, cycles, and comments via Streamable HTTP MCP, with LLM-optimized tools and batch operations.
A Model Context Protocol server implementation that enables AI assistants to interact with Linear project management systems, allowing them to create, retrieve, and modify data related to issues, projects, teams, and users.
Enables AI agents to manage Linear issues, projects, teams, users, comments, and cycles through an optimized interface designed specifically for language models. Supports both local and remote deployment with OAuth authentication and batch operations.
Enables AI models to interact with Linear for issue tracking and project management through capabilities like creating/searching issues, managing sprints, and retrieving workflow states.
Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
Provides MCP-compatible AI clients with full access to a Flarum forum's API, enabling reading, searching, creating discussions, replying, moderation, and management of users, tags, and groups.
An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.
One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose
A server that enables AI assistants to interact with Linear's project management tools through the Model Context Protocol, supporting features like searching, creating, and updating issues, adding comments, and retrieving user profiles and team information.