Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add mcp/shinpr/linear-prism/lineargit clone --depth 1 https://github.com/shinpr/linear-prismGrade A, and why
linear scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to linear — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
{
"linear": {
"type": "http",
"url": "https://mcp.linear.app/mcp"
}
}What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 6 lines scan A f5f9187d8cb5
linear is an MCP server published in the GitHub repository shinpr/linear-prism (7 stars, last pushed 13d ago), licensed MIT. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. It is 100% identical to linear, differing in 0 lines, and is treated as a copy.
Other mcp servers, from other repositories
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abscissa
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arc-linear-github-mcp
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Feedbug MCP server: read visual bug reports (screenshot, console, DOM context) and let your AI agent trace them to source and fix them. Runs locally from the @feedbug/mcp npm package.