"Information about 'Linear' or topics related to the term" matching MCP servers:

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

A persistent, self-organizing memory MCP server for AI assistants, using semantic search, knowledge graphs, and reinforcement learning to automatically manage and retrieve memories.

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

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.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

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.

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 tools like Cline to manage Linear issues, projects, and teams via the Linear API.

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 a stable, side-effect-free MCP tool contract that enables AI workflows to be prototyped, demoed, tested, or dry-run without connecting to databases, APIs, files, or other real data sources. It enables swapping in a real data server later without changing the AI-facing interface.

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

Provides focused tools for interacting with Linear via the Model Context Protocol, enabling LLMs to manage Linear issues, projects, and teams.

A self-hosted MCP server for Linear that reduces response sizes by field-selecting minimal data, saving tokens and costs in LLM agent sessions.

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.

Enables Claude to interact with Linear tasks and issues via MCP tools for retrieving tickets, listing assigned issues, adding comments, and creating issues.

Enables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.

Enables MCP clients to read and manage Linear issues, sub-issues, relations, comments, projects, cycles, teams, users, labels, and workflow states using a personal API key.

Enables interaction with Linear's API to manage issues, projects, and teams. Supports creating, updating, searching, and deleting issues, along with project management and team operations through API key authentication.

MCP server for accessing and managing Linear resources like issues, projects, and comments with full CRUD operations and search.

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.

An MCP server that turns CI failures, pull requests, security alerts, and Slack threads into Linear issues, Slack posts, changelogs, docs, and reports with evidence attached, through 25 agent-run workflows over 59 tools spanning GitHub, Linear, Slack, Notion, Google Docs, Google Calendar, Google Sheets, Firecrawl, and Tavily. It also handles credential setup in the OS keychain and pauses for approval before any create, send, change, or delete call.

x402 capability chassis: 170+ AI-callable, pay-per-call data tools (US/global equities, crypto/DeFi, prediction markets, gov/legal, research, infra) settled in USDC on Base mainnet via the Coinbase CDP facilitator. No API keys or accounts — the x402 payment is the auth. Remote MCP at https://the-stall.intuitek.ai/mcp.

An MCP server that integrates with Linear's API, enabling users to manage issues, projects, teams, and comments through natural language. It supports creating, updating, deleting, and searching issues, as well as project and team management.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

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.

MCP server for controlling satellite ground station operations in the Trench simulation, including pass management, downlink control, and antenna pointing.

MCP server for managing i18n translation files — gives your AI agent full control over your app's translations without dumping entire locale files into context.