可用的 MCP 工具

{
  "query": "fastapi tutorial",
  "count": 15,
  "request_timeout": 300
}

{
  "slug": "airbnb",
  "timeout": 300
}

{
  "query": "AI",
  "batch": "W23",
  "count": 20,
  "timeout": 300
}

{
  "query": "Sam Altman",
  "industries": ["AI", "Enterprise"],
  "top_company": true,
  "hits_per_page": 20,
  "timeout": 300
}

{
  "query": "fastapi tutorial",
  "count": 20,
  "timeout": 300
}

{
  "video": "dQw4w9WgXcQ",
  "timeout": 300
}

{
  "video": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
  "timeout": 300
}

{
  "video": "dQw4w9WgXcQ",
  "lang": "en",
  "timeout": 300
}

{
  "channel": "https://www.youtube.com/@mkbhd",
  "count": 30,
  "timeout": 300
}

{
  "channel": "@mkbhd",
  "count": 50
}

{
  "video": "dQw4w9WgXcQ",
  "count": 100,
  "timeout": 300
}

{
  "video": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
  "count": 50
}

{
  "entity_name": "Apple",
  "forms": ["10-K", "10-Q"],
  "date_from": "2024-01-01",
  "date_to": "2024-12-31",
  "timeout": 300
}

{
  "document_url": "https://www.sec.gov/Archives/edgar/data/320193/000114036125044561/ef20060722_8k.htm",
  "timeout": 300
}

{
  "keywords": "software engineer",
  "location": "San Francisco",
  "count": 20
}

{
  "keywords": "software company",
  "location": "United States",
  "count": 100
}

{
  "name": "Stanford University",
  "count": 10
}

{
  "name": "Software",
  "count": 10
}

{
  "name": "San Francisco",
  "count": 10
}

{
  "user": "https://www.linkedin.com/in/john-doe",
  "with_experience": true,
  "with_education": true,
  "with_skills": true
}

{
  "email": "john.doe@example.com"
}

{
  "profile": "https://www.linkedin.com/in/john-doe"
}

{
  "urn": "urn:li:fsd_profile:ACoAAABCDEF",
  "count": 20
}

{
  "urn": "urn:li:fsd_profile:ACoAAABCDEF",
  "count": 50
}

{
  "urn": "urn:li:fsd_profile:ACoAAABCDEF",
  "count": 100
}

{
  "company": "https://www.linkedin.com/company/microsoft"
}

{
  "urn": "urn:li:company:1234"
}

{
  "companies": ["urn:li:company:1234"],
  "count": 50,
  "keywords": "engineer"
}

{
  "urn": "urn:li:company:1234",
  "count": 20
}

{
  "keywords": "artificial intelligence",
  "date_posted": "past-week",
  "count": 50
}

{
  "urn": "urn:li:activity:1234567890"
}

{
  "urn": "urn:li:activity:1234567890",
  "count": 50
}

{
  "urn": "urn:li:activity:1234567890",
  "count": 100
}

{
  "urn": "urn:li:activity:1234567890",
  "count": 50
}

{
  "account_id": "550e8400-e29b-41d4-a716-446655440000",
  "user": "urn:li:fsd_profile:ACoAAABCDEF",
  "text": "您好！我看到了您关于 AI 的帖子，很想与您建立联系。",
  "timeout": 300
}

{
  "account_id": "550e8400-e29b-41d4-a716-446655440000",
  "user": "urn:li:fsd_profile:ACoAAABCDEF",
  "timeout": 300
}

{
  "account_id": "550e8400-e29b-41d4-a716-446655440000",
  "file_url": "https://example.com/presentation.pdf",
  "timeout": 300
}

{
  "keywords": "python developer",
  "location": "San Francisco",
  "count": 50
}

{
  "group": "https://www.linkedin.com/groups/123456"
}

{
  "post": "CxOTF-..."
}

{
  "post": "CxOTF-...",
  "count": 50
}

{
  "post": "CxOTF-...",
  "count": 100
}

{
  "query": "nature photography",
  "count": 50
}

{
  "user": "natgeo",
  "with_creation_date": true
}

{
  "user": "natgeo",
  "count": 100,
  "type": "followers"
}

{
  "user": "natgeo",
  "count": 20
}

{
  "user": "natgeo",
  "count": 10
}

{
  "query": "artificial intelligence",
  "min_likes": "100",
  "count": 50
}

{
  "query": "python developer",
  "count": 20
}

{
  "user": "elonmusk"
}

{
  "user": "elonmusk",
  "count": 20
}

{
  "query": "machine learning",
  "sort": "relevance",
  "time_filter": "week",
  "count": 50
}

{
  "post_url": "https://www.reddit.com/r/Python/comments/..."
}

{
  "post_url": "https://www.reddit.com/r/Python/comments/..."
}

{
  "url": "https://example.com/article",
  "only_main_content": true,
  "strip_all_tags": true,
  "extract_contacts": true
}

{
  "url": "https://example.com",
  "count": 100,
  "return_details": true
}

1. search_linkedin_users → 获取资料 URN
2. get_linkedin_user_posts → 获取帖子 URN
3. get_linkedin_post_comments → 使用帖子 URN 获取评论

1. search_linkedin_users(keywords="CTO", location="San Francisco")
   → 获取旧金山的 CTO 列表

2. get_linkedin_profile(user=profile_url)
   → 提取详细的资料信息

3. get_linkedin_user_posts(urn=profile_urn, count=10)
   → 获取最近的帖子

4. get_linkedin_post_comments(urn=post_urn, count=50)
   → 分析互动

1. search_linkedin_users(keywords="VP Sales", location="New York")
   → 查找目标潜在客户

2. send_linkedin_message(account_id, user_urn, text="个性化消息")
   → 发送外展消息

3. get_linkedin_chat_messages(account_id, user_urn)
   → 监控回复

4. convert_file_to_base64_attachment(file_url="proposal.pdf")
   → 准备附件

5. send_linkedin_message(account_id, user_urn, text, attachment=base64)
   → 发送带文档的跟进消息

1. get_instagram_user(user="username")
   → 获取资料指标

2. get_instagram_user_posts(user="username", count=20)
   → 提取最近的帖子

3. get_instagram_post_likes(post=post_id, count=100)
   → 分析互动模式

4. get_instagram_user_friendships(user="username", type="followers", count=1000)
   → 了解受众

1. search_reddit_posts(query="product name", time_filter="week")
   → 查找相关讨论

2. get_reddit_post(post_url=url)
   → 获取帖子详情

3. get_reddit_post_comments(post_url=url)
   → 提取所有评论

4. 分析情感和反馈

1. search_youtube_videos(query="AI tutorial", count=50)
   → 查找相关教育视频

2. get_youtube_video(video="video_id")
   → 提取详细的视频元数据

3. get_youtube_video_subtitles(video="video_id", lang="en")
   → 获取完整的视频字幕

4. 分析内容和互动指标

1. search_sec_companies(entity_name="Tesla", forms=["10-K", "10-Q"])
   → 查找最近的财务文件

2. get_sec_document(document_url=filing_url)
   → 检索完整的 10-K 报告

3. 提取财务报表和 MD&A 部分

4. 分析公司业绩和风险