"Looking for an MCP to create an issue on Linear" matching MCP servers:

Enables agentic co-authoring of feature specs, decomposition into architecture-validated tickets, and idempotent syncing to Linear as projects with epics, sub-issues, and dependencies.

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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.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

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.

Enables assistants to publish readable replies and status updates to e-ink displays and Home Assistant, with switchable characters and state retrieval through MCP tools.

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.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

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.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.