"Linear" matching MCP servers:

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.

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

An MCP server for Linear that provides tools to manage issues, projects, comments, cycles, teams, and users via GraphQL, with OAuth2 authentication through Dedalus.

A Model Context Protocol server that enables interaction with Linear workspaces to manage issues, projects, cycles, and teams through a GraphQL interface. It provides 21 tools for comprehensive task management, search, and workflow coordination using OAuth2 authentication.

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 MCP server that enables Claude to train a linear regression model by simply uploading a CSV file, handling the entire ML pipeline from data preprocessing to model evaluation.

Enables fast, local-only read access to Linear data via the macOS cache, allowing listing, searching, and filtering issues, users, teams, and states without API calls.

Enables comprehensive issue tracking and project management through Linear's GraphQL API. Supports creating and managing issues, organizing projects and sprints, team collaboration, and roadmap planning for modern development workflows.

Enables clients to connect to Linear's MCP server through a proxy, handling authentication and session forwarding so callers need no Linear credentials.

MCP server for integrating Linear with Claude Code and other MCP clients. Enables issue management, project planning, and status tracking through a set of tools.

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.

Enables users to perform multivariate linear regression with gradient descent, Holt linear forecasting, Welch's t-test evaluation, anomaly detection, and PCA dimensionality reduction through MCP-compatible clients using only Python standard library tools.

Enables agents to run zero-dependency statistical modeling and data analysis through MCP, including multivariate linear regression via gradient descent, anomaly detection, time-series forecasting, hypothesis testing, and PCA dimensionality reduction.

Enables agile sprint backlog velocity calculation and milestone completion prediction through the Model Context Protocol, integrating with MCP-compliant clients for deterministic, low-latency forecasting.

Enables agile sprint backlog velocity calculation and milestone completion prediction for Linear, integrating with MCP-compatible clients through a zero-dependency Python server.

One MCP server holding a live session with every client's account at once, so one agent can read across a dozen businesses and write inside only the one you name. It forwards each provider's own MCP tools (Cloudflare, Vercel, Resend, Supabase, Linear, Notion, Sentry, Netlify and more) with that client's credentials, and adds deterministic DNS and email checks that never call a model.

AI 規格大師 — MCP server bridging specs (Linear / JIRA / GitHub Issues / Notion / Markdown / Figma) to tests, with bidirectional traceability and a spec-quality coach. Sibling to mk-qa-master.

Enables AI assistants to scan multiple services and local filesystems for leaked secrets using n0s1 secret-scanning capabilities.

A symbolic mathematics MCP server supporting calculus, linear algebra, number theory, statistics, and unit conversion via natural language.

A Python MCP server that gives Claude access to PM workflow data such as sprints, roadmap, blockers, and workload, using synthetic fixture data (no API keys required) and can be forked for real Linear/Jira integration.