stickerdaniel_linkedin-mcp-server AGENTS.md

stickerdaniel_linkedin-mcp-server AGENTS.md is an instructions file for Codex, OpenCode from bartest5/stickerdaniel_linkedin-mcp-server. It costs 1,876 tokens per session, scanned A, a copy of linkedin-mcp-server AGENTS.md, Apache-2.0.

A set of project instructions for a LinkedIn MCP server that collects information from LinkedIn pages. It covers development commands, data-scraping rules, response formats, and how to check reported bugs.

In plain words
What is it for?
Use it when developing or reviewing the server: install dependencies, run formatting, type checks and tests, start the server, configure its browser, or verify scraping changes.
Why use it?
It gives contributors consistent rules for navigation and page extraction, while reducing dependence on LinkedIn’s changing page structure.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/bartest5/stickerdaniel_linkedin-mcp-server/agents-md
Clone the repo
git clone --depth 1 https://github.com/bartest5/stickerdaniel_linkedin-mcp-server

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for stickerdaniel_linkedin-mcp-server AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/bartest5/stickerdaniel_linkedin-mcp-server/agents-md.svg)](https://agentmods.dev/instructions/bartest5/stickerdaniel_linkedin-mcp-server/agents-md)
Your own site
<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>
Per session 1,876 This file is loaded in full into every session.
When invoked 1,876 The same file — it is already loaded in full.
Security scan A 1 finding. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 4d ago against content hash 06c62c4fc954, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 \
Origin

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.

AGENTS.md · 115 lines

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 uv for 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 install then uv 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-label exists, aria-expanded exists, aria-disabled exists), or structural counts — never on text values like "Connect", "Follow", "Message", "1st", "Pending". The verb in an aria-label is 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; value carries non-URL identifiers (e.g. company URN id for kind: "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 is kind: "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, matching get_feed's num_posts ceiling.

Read the full file on GitHub · 115 lines

Changes

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.

  1. 4d ago First seen · 115 lines · 1,876 tokens per session scan A 06c62c4fc954

Subscribe to this mod's changes

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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