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linear

Read and write Linear issues, projects, cycles, comments, and more via Linear's official MCP server. Tools are auto-discovered from the server at runtime.

Quellinformationen

Repository
CaseMark/prime-linc
Letzte Quellaktivität
5. August 2026 um 20:50
Erkannte Sprache von SKILL.md
Englisch
Sterne
0
Forks
0

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
linear
description
Read and write Linear issues, projects, cycles, comments, and more via Linear's official MCP server. Tools are auto-discovered from the server at runtime.
# Linear Talk to Linear through its official hosted MCP server from the IPython kernel. ## Setup Connect via `/login` → **Services** tab → **Linear** (OAuth in the browser). `/mcp login linear` does the same. Once connected, this skill is enabled automatically. If a call raises `NotEnabled`, the user isn't logged in — walk them through `/login`; don't ask them to set environment variables. ## Usage The tool set is defined by the server, not by this skill, so **discover before you call** — don't assume tool names or argument names: ```python import linear # 1. Discover available tools for tool in await linear.list_tools(): print(tool["name"], "-", tool["description"]) # 2. Inspect a specific tool's arguments (rendered from its JSON Schema) help(linear.list_issues) # 3. Call it; keyword args must match the tool's input schema result = await linear.list_issues(team="Engineering") print(result) ``` Notes: - Every tool is an `async` method — always `await`. - Results are already-parsed Python (a `dict` for structured output, otherwise a string). No need to `json.loads` them. - For tools whose names aren't valid Python identifiers, use the escape hatch: `await linear.call_tool("tool-name", {"arg": "value"})`. - Run `list_tools()` before relying on `help()` or assuming a tool exists — it populates the schemas `help()` shows, and the server is the source of truth for tool names and arguments.
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