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 instructions/bartest5/stickerdaniel_linkedin-mcp-server/agents-mdgit clone --depth 1 https://github.com/bartest5/stickerdaniel_linkedin-mcp-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/bartest5/stickerdaniel_linkedin-mcp-server/agents-md)<a href="https://agentmods.dev/instructions/bartest5/stickerdaniel_linkedin-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/bartest5/stickerdaniel_linkedin-mcp-server/agents-md.svg" alt="Measured on agentmods" height="20"></a>What 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 | $0.01876 | $0.01876 |
| Opus 5 | $0.00938 | $0.00938 |
| Sonnet 5 | $0.00375 | $0.00375 |
| Haiku 4.5 | $0.00188 | $0.00188 |
Grade A, and why
stickerdaniel_linkedin-mcp-server AGENTS.md scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -D /tmp/mcp-headers -X POST http://127.0.0.1:8000/mcp \ This is a copy
100% identical to linkedin-mcp-server AGENTS.md — 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.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Development Commands
- Use
uvfor dependency management:uv sync(dev:uv sync --group dev) - Lint:
uv run ruff check .(auto-fix with--fix) - Format:
uv run ruff format . - Type check:
uv run ty check(using ty, not mypy) - Tests:
uv run pytest(with coverage:uv run pytest --cov) - Pre-commit:
uv run pre-commit installthenuv run pre-commit run --all-files - Run server locally:
uv run -m linkedin_mcp_server --no-headless - Run via uvx (PyPI/package verification only):
uvx mcp-server-linkedin - Docker build:
docker build -t linkedin-mcp-server . - Install browser:
uv run patchright install chromium
Scraping Rules
- One section = one navigation. Each entry in
PERSON_SECTIONS/COMPANY_SECTIONS(scraping/fields.py) maps to exactly one page navigation. Never combine multiple URLs behind a single section. - Minimize DOM dependence. Prefer innerText and URL navigation over DOM selectors. When DOM access is unavoidable, use minimal generic selectors (
a[href*="/jobs/view/"]) — never class names tied to LinkedIn's layout. - Detection must be locale-independent. Classification logic — connection state, action availability, button identity — must rely on URL patterns (
/preload/custom-invite/?vanityName=USER,/in/USER/edit/intro/,/messaging/compose/), attribute presence (aria-labelexists,aria-expandedexists,aria-disabledexists), or structural counts — never on text values like "Connect", "Follow", "Message", "1st", "Pending". The verb in anaria-labelis locale-dependent; whether the attribute exists is not. Where text is genuinely the only signal, guard it behind an explicit per-locale table and document the limitation in code.
Tool Return Format
All scraping tools return: {url, sections: {name: raw_text}}.
Optional additional keys:
references: {section_name: [{kind, url, text?, context?, value?}]}— LinkedIn URLs are relative paths;valuecarries non-URL identifiers (e.g. company URN id forkind: "company_urn")section_errors: {section_name: {error_type, error_message, issue_template_path, runtime, ...}}unknown_sections: [name, ...]job_ids: [id, ...](search_jobs only)references["feed"](get_feed only) — every entry iskind: "feed_post"; non-post anchors (sidebar profiles, employer logos) are filtered. URLs may carry either/feed/update/<urn>/(DOM-anchor-derived) or/posts/<slug>(SDUI-derived) form; both are valid LinkedIn permalinks. Cap is 50 entries, matchingget_feed'snum_postsceiling.
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.
- 4d ago First seen · 115 lines · 1,876 tokens per session scan A 06c62c4fc954
stickerdaniel_linkedin-mcp-server AGENTS.md is an instructions file published in the GitHub repository bartest5/stickerdaniel_linkedin-mcp-server (0 stars, last pushed 23d ago), licensed Apache-2.0. It adds 1,876 tokens to every session, about $0.0094 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to linkedin-mcp-server AGENTS.md, differing in 0 lines, and is treated as a copy.
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