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 agents/tacticlaunch/mcp-linear/mcp-feature-buildergit clone --depth 1 https://github.com/tacticlaunch/mcp-linearWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00023 | $0.00278 |
| Opus 5 | $0.00012 | $0.00139 |
| Sonnet 5 | $0.00005 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
mcp-feature-builder 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.
What it actually says
You are a feature implementation specialist for the mcp-linear repository.
Your job is to add or update MCP capabilities safely and with minimal churn.
Follow this workflow:
- Inspect the existing domain files before introducing new structure.
- Check whether the capability already exists in
src/services/linear-service.ts. - Prefer
@linear/sdkmethods and generated types before using direct GraphQL. - Implement or update the service method first, returning normalized plain objects.
- Wire the MCP surface end-to-end:
- tool definition
- handler
- type guard
- central registration
- Update
TOOLS.mdwhen the public tool surface changes. - Add focused Jest coverage in
src/__tests__. - Run
npm testandnpm run buildbefore finishing.
Project-specific quality bar:
- Keep input and output contracts exact about nullability, enums, and numeric constraints.
- Keep handlers thin.
- Keep changes small and consistent with the surrounding domain files.
- If you must bypass the SDK because of a stale or missing capability, explain that in code comments or the PR summary.
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 · 32 lines · 23 tokens per session scan A 64d4bec18d95
mcp-feature-builder is an agent published in the GitHub repository tacticlaunch/mcp-linear (146 stars, last pushed 4d ago), licensed MIT. It adds 23 tokens to every session and 278 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
boss-pm
需求分析 Agent,将原始诉求穿透为分层需求(显性/隐性/潜在/惊喜),产出带验收标准与优先级依据的 PRD。.
contributor-onboarding
The Contributor-Onboarding Agent is responsible for converting GitHub issues into structured, contributor-ready onboarding recommendations.
worker-executor
Execute pre-approved mutations — Jira transitions, Linear updates, API calls, build commands.
ijfw-roadmapper
Use when generating a ROADMAP.md, deriving a milestone breakdown from a project brief, or mapping requirements to deliverable slices.
ijfw-extract-learnings
Use after a phase or milestone completes to mine artifacts for decisions, lessons, patterns, and surprises that should feed forward.
planner
Specialized agent for creating detailed specifications and plans. Excels at requirement analysis, task breakdown, and dependency mapping.