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MCP Server · 数据服务

MCP Linkedin

一个通过非官方API与LinkedIn动态和职位API交互的模型上下文协议服务器,适用于职业网络和数据分析场景。

stdio官方来源来源级核验工具 0@smithery/cli
PythonClaude数据分析Claude Desktop

快速开始

作者 / 组织
adhikasp
提供方
adhikasp
运行时
Node.js

工具数量

0

来源目录标注

资源数量

0

来源目录标注

提示词数量

0

来源目录标注

GitHub Star

201

仓库热度

收录来源

2 个

MCP World

选型结论

MCP Linkedin 属于数据服务类 MCP Server,公开资料标注 0 个工具,通过stdio 本地进程接入,适配 Claude Desktop、Claude,有可以直接复制的安装命令;接入前先确认权限范围。

分类

数据服务

传输方式

stdio

认证方式

无需认证

部署方式

支持远程部署

安装与配置

安装命令

npx -y @smithery/cli install mcp-linkedin --client claude

公开命令不是通用的启动方式,拼不出可靠配置示例;请在客户端 MCP 配置里按官方文档填写 command 和 args。

上手步骤

  1. 1

    准备运行环境

    stdio 服务在本地起进程,需要先装好 Node.js,再按安装命令拉取依赖。

  2. 2

    安装服务

    复制下面的安装命令执行;命令里带占位符的位置换成自己的密钥或路径。

  3. 3

    写入客户端配置

    在客户端的 MCP 配置里填启动命令和参数,保存后完全退出客户端再打开,让新配置生效。

  4. 4

    验证是否可用

    连接成功后客户端会列出 0 个工具,随便调一个只读工具确认能返回结果。

接入前确认

不要直接授予不必要的文件、网络或账号权限;先核对安装命令和配置内容。

详细介绍

MCP领英

模型上下文协议(MCP)服务器,提供与LinkedIn的Feeds和Job API交互的工具。

这是使用非官方的LinkedIn API通过 Linkedin api.使用风险自负。

通过Smithery安装

通过以下方式自动安装适用于Claude Desktop的LinkedIn交互服务器 史密瑟里:

npx -y @smithery/cli install mcp-linkedin --client claude

配置

{
    "mcpServers": {
        "linkedin": {
            "command": "uvx",
            "args": ["--from", "git+https://github.com/adhikasp/mcp-linkedin", "mcp-linkedin"],
            "env": {
                "LINKEDIN_EMAIL": "your_linkedin_email",
                "LINKEDIN_PASSWORD": "your_linkedin_password"
            }
        }
    }
}

示例使用

使用 mcp客户端cli

获取订阅源帖子

$ llm whats happening in linkedin feed? Do not mention names

I'll retrieve the recent LinkedIn feed posts without mentioning any specific names.

Tool Calls:
  get_feed_posts
  Args:
    limit: 10

Based on the LinkedIn feed, here are the key highlights without mentioning specific names:

1. Data Science & Cybersecurity Insights:
   - A post about a massive dataset from a major tech company
   - Includes 13 million pieces of evidence
   - Covers SIEM telemetry from 6,100 organizations
   - Represents 441 MITRE ATT&CK techniques

2. DevOps Community Event:
   - A local DevOps meetup was held at a tech company office
   - Discussed topics like AWS Lambda, Kubernetes scaling, Terraform
   - Highlighted the importance of networking and continuous learning
   - Shared experiences of transitioning between tech roles

3. Linux Engineering Perspectives:
   - Insights into what makes a great Linux engineer
   - Key skills include:
     * Command-line troubleshooting
     * Process management
     * Networking fundamentals
     * System architecture understanding
     * Task automation
     * Shell scripting

4. Professional Networking:
   - Some posts about job seeking
   - Discussions about career transitions
   - Sharing professional experiences and learnings

5. Tech Community Reflections:
   - Posts about inspirational figures
   - Discussions on professional growth
   - Reflections on learning and personal development

The feed showcases a mix of technical insights, professional networking, career development, and community engagement across various tech domains.

搜索职位

$ llm search for 3 data engineer jobs in jakarta. For each job check if it a good match for me by analyzing it against my resume in file resume.md. Do not mention company name in your result but only generic area where the company business is about

I'll help you find data engineer jobs in Jakarta and analyze them against your resume. I'll break this down into steps:

1. First, I'll search for data engineer jobs in Jakarta
2. Then, I'll read your resume
3. Finally, I'll analyze the job matches

Let's start by searching for jobs:

Tool Calls:
  search_jobs
  Args:
    keywords: data engineer
    location: Jakarta
    limit: 3

Now, I'll read your resume:

Tool Calls:
  read_file
  Args:
    path: resume.md
Secure MCP Filesystem Server running on stdio
Allowed directories: [ '/home/adhikasp', '/mnt/e' ]

Now, I'll analyze the jobs against your resume:

1. Job in Financial Technology Sector (Lead Backend Engineer):
   - Match Score: 85%
   - Strengths:
     * Requires experience in developing scalable microservices (aligns with your Grab experience)
     * Strong focus on cloud infrastructure (AWS, GCP) - matches your cloud skills
     * Requires experience with event-driven architecture and message brokers
     * Requires Go or Python programming (your proficient languages)
   - Potential Gaps:
     * Specific focus on credit risk and fraud detection might require additional domain knowledge
     * Emphasis on team leadership (6+ years experience leading teams)

2. Job in Financial Technology Sector (DevOps Engineer):
   - Match Score: 75%
   - Strengths:
     * Requires cloud platform experience (AWS, GCP)
     * Needs containerization skills (Docker, Kubernetes)
     * Requires scripting in Python and Bash
     * Needs infrastructure as code experience
   - Potential Gaps:
     * More DevOps focused compared to your backend engineering background
     * Specific monitoring tools might require additional learning

3. Job in Enterprise Collaboration Software (Solution Engineer):
   - Match Score: 60%
   - Strengths:
     * Requires strong communication skills
     * Technical consulting background
     * Experience with enterprise software
   - Potential Gaps:
     * Less technical compared to your current role
     * More sales-oriented solution engineering
     * Less hands-on technical development

Recommendation:
The first job (Lead Backend Engineer) appears to be the best match for your skills and experience. It closely aligns with your current work, particularly in terms of backend development, cloud infrastructure, and working with distributed systems. The role's requirements in Go/Python, microservices, and event-driven architecture are very compatible with your professional background.

Would you like me to elaborate on any of these job analyses or provide more detailed insights?

工具与能力

工具数量

0

资源数量

0

提示词数量

0

能力标签

LinkedInAPIPython本地部署职业网络数据分析非官方API自动化工具

支持客户端

Claude DesktopClaude

数量来自来源目录的标注,具体工具清单以官方文档为准。

典型使用场景

用自然语言查库

不用手写 SQL,直接问数据,让模型组织查询语句。

数据巡检

定期拉指标、做对比,把异常项整理成一段说明。

打通业务数据

把数据库、数仓和接口接进同一个上下文,减少导出再上传。

选择建议

值得选的地方

  • 只提供 0 个工具,职责集中,接入后不容易误操作。
  • 有现成的安装命令,不用自己找入口,照着跑就能起服务。
  • 已经适配 Claude Desktop、Claude,换客户端不用重新研究配置。

先想清楚的地方

  • stdio 方式要求本地装好 Node.js,换机器要重新装一遍。
  • 公开摘要偏短,具体能力和限制要回到仓库确认。
  • 第三方目录整理,版本更新和行为细节以官方仓库为准。

更适合

  • 需要在数据服务场景里让模型直接调用外部能力的人。
  • 已经在用 Claude Desktop 的用户,接入路径最短。
  • 想先快速试一下、能接受在本地跑服务的人。

不太适合

  • 完全不想在本地装环境的人。
  • 需要厂商级 SLA 和技术支持的生产环境。

同类对比

5 个同类
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按同分类和工具数量挑出最接近的几条,字段以各自详情页为准。

常见问题

5 条

MCP Linkedin 怎么安装?

公开资料给出的安装命令是 npx -y @smithery/cli install mcp-linkedin --client claude,运行环境为 Node.js。装完后按客户端要求写进 MCP 配置,重启客户端生效。

MCP Linkedin 怎么在 Claude Desktop、Cursor 里配置?

它是stdio 本地进程,客户端配置里要写启动命令和参数,运行环境是 Node.js;保存后完全退出客户端再打开,配置才会生效。

MCP Linkedin 收费吗?

本站只整理公开资料,不代收费用,也没有标注具体价格。是否收费取决于服务本身和背后的接口额度,正式使用前按官方说明确认。

MCP Linkedin 需要 API Key 吗?

公开资料标注为无需认证,装好就能连;如果实际调用时报鉴权错误,按官方文档补上凭据。

MCP Linkedin 支持哪些客户端?

公开资料标注支持 Claude Desktop、Claude;其他客户端只要能配置 MCP Server,也能用同样的命令或地址接入。

来源信息

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