MCP servers: Linear

Enables AI clients to manage multiple Linear workspaces using Personal API Keys to create, update, and search issues, projects, and teams.

Enables AI clients to manage Linear issues using a token-efficient action dispatch system for searching, creating, and updating tasks.

Connect AI clients to meeting recordings, transcripts, and action items to manage tasks, search conversations, and sync with project management tools.

An AI coding factory that automates the workflow from ticket to reviewed pull request with adversarial review and tamper protection.

Mirrors Jira and Confluence data into a local SQLite database for fast SQL querying, full-text search, and offline access via an AI client.

Enables AI assistants to manage project workflows by retrieving and updating issues, projects, teams, and roadmaps via the Linear GraphQL API.

Converts team tools like GitHub, Jira, and Linear into a local knowledge store for AI coding agents to implement tickets and open draft PRs.

Lets an AI client query a multi-repo architecture graph, search code embeddings, and pull service context for spec generation.

Allows AI clients to read team end-of-day reports and rosters to track productivity and team status.

Connects your files, repos, agent sessions, tickets and messages into per-task threads that AI coding agents can search and resume.

Enforces strict ticket management rules for Linear by treating descriptions as state and requiring validated evidence for task completion.

Spawns local Claude Code instances from external platforms like GitHub, Linear, and Jira when the phrase 'Dear Claude' is mentioned.

Administers Linear project workflows with scope-gated controls and optional GitHub and Obsidian evidence adapters.

Lets an AI client query meeting decisions, generate standups, and manage Jira or Linear tasks through natural language.

Lets AI agents manage daily planning, task lists, and rituals through a built-in MCP server.

Lets coding agents claim tasks, comment, message other agents, and save learned information to shared memory.

Allows an AI client to manage Linear issues, projects, cycles, and dependencies through 42 specialized tools.

Provides a token-efficient Linear MCP server that uses field-trimmed GraphQL responses to reduce LLM context usage and costs.

Provides a collaborative workspace for AI agents and humans to coordinate tasks, review work, and ship results to GitHub, Slack, and Linear.

Provides AI assistants direct access to popular SaaS APIs like Stripe, Notion, and GitHub through a curated collection of MCP servers.

Enables AI agents to react to real-time events from services like GitHub, Stripe, and Linear via a dedicated webhook URL.

Provides an integrated MCP server that connects agents to organizational apps, shared memory, web search, and a unified file drive.

Assign Linear, Jira, or GitHub issues to an AI coding agent team that plans, builds, reviews, tests, and opens pull requests.