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

Enables AI agents to debug and repair historical Solaris/SPARC systems by providing an out-of-band control plane with guest DTrace, QEMU monitor access, SPARC-aware GDB, host eBPF/perf tracing, and an immutable evidence ledger for cross-layer hypothesis testing.

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Scaffold and audit Starter Series projects — MCP server, Claude Code skill, and CLI in one package.

An MCP server that generates and edits images using OpenAI's GPT Image model, allowing users to create images from text descriptions and edit existing images through natural language.

A Model Context Protocol server that integrates with Linear, enabling AI assistants to create, update, search, and comment on issues for project management and issue tracking.

An open-source Model Context Protocol server that enables interaction with the Linear API to manage issues, teams, and comments. It allows users to create, update, and search for issues while accessing workspace users and workflow states.

Enables managing Linear issues, projects, and teams through Cline. Supports CRUD operations, bulk actions, and rich text descriptions.

Enables AI clients to list, retrieve, create, update, and delete tracked issues through MCP tools that call an underlying FastAPI REST API over HTTP. Issue status and priority values are validated, and API or network failures surface as MCP tool errors.

A Model Context Protocol server that enables AI assistants to interact with Linear project management systems, allowing users to retrieve, create, and update issues, projects, and teams through natural language.

A read-only MCP server for Linear that enables listing teams, cycles, and issues, and searching issues via the Linear API.

Enables reading and managing Linear issues by human-readable ID, with tools for searching, creating, updating, commenting, and resolving teams, states, labels, and assignees by name.

MCP server for generating images using Gemini, supporting multiple aspect ratios and both AI Studio and Vertex AI backends.

Enables agents to keep Linear tickets current by treating the description as the ticket's state and comments as its log, with validated section patches, reconciled drift reporting, whole-ticket reads, typed comments, and a hash-checked claim-then-Done gate. Enforces these rules server-side so they hold across any client, including hands-off labels and refusal of stale or unverified writes.

Enables AI agents to search, create, update, and manage Linear issues through natural language, with support for teams, workflows, and comments.

Enables AI-powered GitHub issue management by converting natural-language bug reports into structured issues, detecting duplicates via semantic analysis, and requiring human approval before creating issues on GitHub.

Enables AI agents to manage Linear issues, projects, teams, and more via the Model Context Protocol.

Multi-workspace Linear MCP server using Personal API Keys instead of OAuth. Provides tools for managing issues, projects, teams, and more across multiple workspaces.

Enables AI assistants to work with Linear via the Model Context Protocol, covering issue/project management, resource and prompt access, webhooks, and OAuth app setup.

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

Read-only MCP server that fetches a single Jira issue by key and returns its title, description, comments, attachment summary, and image attachments.