Tiger Linear MCP Server (Timescale)
Official MCP server from Timescale (timescale org) — part of their 'Tiger' AI tooling suite — for Linear project management. Enables AI agents to query and manage Linear issues, projects, teams, and sprints through Linear's GraphQL API. Timescale's Tiger tools are built for AI-powered developer workflows.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Official Timescale implementation. Linear SOC2/GDPR compliant. Engineering roadmap data.
⚡ Reliability
Best When
An engineering team using Linear for project management wants AI agents to query, create, and manage issues — Timescale's Tiger tools are specifically designed for AI-native development workflows.
Avoid When
You use other project management tools. Also: Timescale's Tiger tools are opinionated for their AI workflow approach — evaluate fit with your team's process.
Use Cases
- • Managing Linear issues and projects from engineering workflow agents
- • Querying sprint status and team workload from planning agents
- • Creating and updating Linear issues from development agents
- • Integrating Linear project data into AI-driven engineering workflows
Not For
- • Teams using Jira, GitHub Issues, Shortcut, or other project management tools
- • Non-Linear project management (Timescale Tiger is Linear-specific)
- • Organizations not invested in AI-powered developer tooling
Interface
Authentication
Linear API key required. Set LINEAR_API_KEY environment variable. Personal API keys generated in Linear settings.
Pricing
Linear subscription required (from $8/user/month). MCP server is free open source from Timescale.
Agent Metadata
Known Gotchas
- ⚠ Official from Timescale org — high quality implementation, built for AI workflows
- ⚠ Linear GraphQL API requires understanding of Linear's data model (issues, projects, cycles, teams)
- ⚠ Issue creation creates real project management records — test with non-production workspace
- ⚠ Timescale Tiger tool suite assumes AI-first workflow — may not fit all team processes
Alternatives
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Scores are editorial opinions as of 2026-03-07.