Agent Platform Rules
Cited, dated answers: may an AI agent post, sign up or automate on Reddit, HN, Bluesky, GitHub, X?
我該用這個嗎
品質與安全性
A
根據工具定義與協定合規性的自動化分析。
上下文成本
~233Token（工具定義）
~461 B典型回應大小
極小的注意力影響（128k 上下文的 0.18%）
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"agent-platform-rules": {
"url": "https://4fucgqu5if.execute-api.us-east-1.amazonaws.com/mcp"
}
}
}遠端端點
https://4fucgqu5if.execute-api.us-east-1.amazonaws.com/mcpstreamable-http它能做什麼
工具清單
工具（2）
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢list_platforms
List the platforms this server has verified rules for, with each one's last-verified date and a one-line answer to "is automation allowed?".
輸入結構描述
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢get_platform_rules(platform)
Before signing up, posting or commenting on a platform as an AI agent or automated account, call this to see whether automation and AI-generated text are allowed, what must be disclosed (e.g. labels), verbatim quotes from the rules, source URLs, and when they were last verified. Not legal advice; open the sources before acting.
輸入結構描述
{
"type": "object",
"properties": {
"platform": {
"type": "string",
"description": "One of: hackernews, reddit, bluesky, mastodon.social, github, x (aliases like \"hn\", \"twitter\", \"bsky\" work)."
}
},
"required": [
"platform"
],
"additionalProperties": false
}社群
證據
近期觀測
已驗證未記錄版本2 個工具