
LinkedIn MCP (by TalkToHumans)
io.github.TalkToHumans由 GitHub 账号 TalkToHumans 发布v1.1.0更新于 Nov 1, 2026
The safest LinkedIn MCP: your Agents read DMs, search your network and draft messages you send.
概览
托管式 LinkedIn MCP,让助手读取已同步的会话、搜索联系人、补全资料并起草消息,由你本人发送。
- 可以做什么
- 读取账号、会话与消息,并查询额度余额
- 列出、导入、更新和删除联系人与公司,管理自定义字段和标签
- 通过第三方数据源补全资料中的工作邮箱和手机号
- 创建和更新视图、模板与跟进序列
- 查看活动记录与活动汇总,用于外联效果分析
- 加载内置技能并提交反馈
- 适用场景
- 适合创始人、顾问和销售团队让助手整理 LinkedIn 收件箱、按理想客户画像打分和打标签、起草首条消息与跟进,并分析外联表现,同时所有发送仍由人工确认。
- 运行要求
- 远程 Streamable HTTP 端点,需通过 OAuth 登录 TalkToHumans 账号,并要求 Pro 套餐。需安装 TalkToHumans 浏览器扩展并连接 LinkedIn,且保持浏览器打开以完成同步。无需提供 LinkedIn 密码,AI 客户端登录的是 TalkToHumans。
安装
在 SourceWeft 中
- 打开 控制台中的 LinkedIn MCP (by TalkToHumans),将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.github.TalkToHumans%2Flinkedin-mcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"mcpServers": {
"linkedin-by-talktohumans": {
"type": "http",
"url": "https://api.talktohumans.app/mcp"
}
}
}README
LinkedIn MCP Server
The safest LinkedIn MCP for your Agents.
Connect Claude, ChatGPT, Codex, Cursor, VS Code or any remote MCP client to your own LinkedIn account.
Your agent reads your LinkedIn conversations, searches your network, enriches profiles with email and phone, and drafts the messages. You review them and hit send.
[Website] [Docs] [MCP Registry] [Transport] [smithery badge]
Why this LinkedIn MCP is safer
LinkedIn has no official MCP server, and its public API doesn't give access to your private messages. Every LinkedIn MCP is third-party, and most fall into one of three groups:
No LinkedIn tool is completely risk-free. Here is how TalkToHumans keeps the risk down:
- Human pace, enforced. Every action type has its own conservative daily limit and a slightly random gap between actions, so nothing goes out in bursts. Limits belong to the LinkedIn account, so every teammate and every agent shares them. Nobody can raise them, not even your agent.
- Cache-based sync. Your agent reads a synced copy of your LinkedIn data, not LinkedIn itself. Ask it 100 questions about your inbox and your account sees the same activity as one, with no hopping from profile to profile. The background sync that fills that copy is paced the same way.
- Runs in your browser. LinkedIn actions go through the browser you already use. No cloud automation, no proxy IPs and no virtual browsers acting on your behalf.
- Work in the chat, the app or LinkedIn. Everything your agent does also lands in the TalkToHumans app and in panels embedded in LinkedIn's own pages. Check conversations, see what's scheduled and take over by hand wherever you are.
- Drafts only. The MCP can write a reply or stage a full follow-up sequence. Nothing goes out until you hit send.
What your agent can do on LinkedIn
Founders, consultants, sales teams and agencies use it for the same handful of jobs. Each one has a ready-to-paste prompt further down.
- Find leads in your network. Describe your ideal customer, and your agent scores your connections. They're already connected to you, so you can message them today.
- Find the replies you owe. Scan hundreds of LinkedIn, Sales Navigator and Recruiter threads for the ones where someone is waiting on you, every morning if you like.
- Draft messages in your voice. Your agent researches each person and writes a first message that sounds like you. You review every draft and send it yourself.
- See what gets replies. Analyze acceptance rates, reply rates and templates, from connection request to booked meeting.
- Stage follow-up sequences. Follow-ups that stop when the lead replies, written for each person, waiting for you to launch them.
- Import new leads. Find people showing intent online, or bring in a list from an event or Sales Navigator, and get a ready-to-work view.
- Score and tag contacts. Fill an ICP score for every contact, or backfill tags on hundreds of conversations the way your team already uses them.
- Keep your CRM in sync. Combine it with your CRM's MCP to log LinkedIn conversations, or use the native HubSpot integration.
Your agent also gets work email and mobile phone for the people you talk to, from 20+ providers in a waterfall.
Connect your AI client to LinkedIn
You need a TalkToHumans account on the Pro plan, with the TalkToHumans browser extension connected to LinkedIn. Try it free.
Connect Claude to LinkedIn (web and desktop)
- In Claude, open Customize > Connectors and click + Add > Add custom connector.
- Name it
TalkToHumansand pastehttps://api.talktohumans.app/mcp. - Click Continue, then Add, and sign in to TalkToHumans.
In a chat, click + > Connectors and turn TalkToHumans on. On Team and Enterprise plans, an owner adds it first in Organization settings > Connectors.
Claude Code
Then run /mcp in Claude Code, pick talktohumans and sign in.
Connect ChatGPT to LinkedIn
- In ChatGPT, open Plugins in the sidebar and click + > Add custom MCP server.
- Name it
TalkToHumansand pastehttps://api.talktohumans.app/mcp. - Click Create as a plugin and sign in to TalkToHumans.
In a chat, type @TalkToHumans. Custom MCP servers need a ChatGPT Business, Enterprise or Edu plan.
Codex
Cursor
Add this to ~/.cursor/mcp.json. Cursor asks you to sign in the first time it uses it.
VS Code
Run MCP: Add Server from the Command Palette, choose HTTP, paste https://api.talktohumans.app/mcp, name it talktohumans and choose Global. VS Code asks you to sign in.
n8n and other MCP clients
Any client that supports remote MCP servers over Streamable HTTP with OAuth can use the same URL. The MCP docs have the steps for each client.
Once connected, ask: "Use TalkToHumans to list my LinkedIn accounts."
Prefer a CLI?
Running Claude Code, Codex or another terminal agent, or writing scripts and cron jobs? The LinkedIn CLI (tth) gives your agent the same workspace, safety rules and playbooks, without loading tool definitions into every session.
LinkedIn MCP use cases and prompts
Replace the parts in [brackets]. Each prompt works in Claude, ChatGPT, Codex or Cursor once TalkToHumans is connected. They're ordered from the ones people run most.
Find leads in your LinkedIn network
At least 10–20 people in your network probably already fit your ICP, and you can message them without a connection request.
To find intro paths instead, ask for people who could introduce you to your ICP, why each one is relevant, and a draft of the intro ask.
Find the LinkedIn replies you owe
Leads rarely go cold because they said no. They go cold because nobody answered.
Save it as a scheduled task in your AI client for a LinkedIn inbox brief every morning. Your agent reads the inbox synced by the TalkToHumans extension, so keep LinkedIn open in your browser for the latest messages.
Draft LinkedIn messages in your voice
A good first message is the hardest part. Your agent gets you past the blank page, and every draft waits in TalkToHumans until you review and send it.
Analyze your LinkedIn outbound performance
Stage LinkedIn follow-up sequences
Most replies come from the follow-up, and writing three of them for every lead is where most people give up. Your agent stages each sequence as a draft. It stops as soon as the lead replies, and nothing starts until you launch it.
Find new leads online and import them
Pair TalkToHumans with a web search MCP such as Parallel to find fresh leads every day.
Import a LinkedIn lead list you already have
Got a list from an event, a webinar, a Sales Navigator search or another tool? Your agent imports up to 500 LinkedIn profiles at a time.
Score contacts against your ICP
Your agent stores the score in an "ICP score" custom field, so you can sort and filter your contacts by it.
Tag LinkedIn contacts and conversations automatically
Tags work well when you're working through new conversations. To backfill hundreds of old ones, hand it to your agent. Keep tags few and simple, like "Hot lead", "Friend", "Candidate", "Investor" or "Spam": a contact with no tag is better than a wrong one.
Log LinkedIn conversations in your CRM
Using HubSpot? The native integration on the Pro plan already syncs it. For any other CRM with an MCP server, such as Attio or Twenty, your agent can do it:
LinkedIn MCP tools
write_message_draft saves a draft or stages a sequence for you to review. It never sends. Imports and enrichment use TalkToHumans credits.
FAQ
What is a LinkedIn MCP server?
MCP (Model Context Protocol) is the open standard that lets AI assistants like Claude, ChatGPT and Cursor use outside tools. A LinkedIn MCP server connects your agent to your LinkedIn data. It can read your conversations, search your network and prepare messages, instead of you copying everything into a chat.
Is there an official LinkedIn MCP?
No. LinkedIn doesn't offer an MCP server, and its public API doesn't cover private messages. Every LinkedIn MCP is third-party.
Can my agent send LinkedIn messages on its own?
No, and that's on purpose. Your agent can read, sort and draft, down to a full follow-up sequence. Every message that carries your name still gets your approval.
Do I have to give you my LinkedIn password?
No. TalkToHumans works through your logged-in browser session. Your AI client signs in to TalkToHumans, not to LinkedIn.
How fresh is the data?
Your workspace syncs while your browser is open with the TalkToHumans extension on, newest conversations first. Older message history loads when you open a conversation in TalkToHumans.
Is there a LinkedIn CLI?
Yes. The LinkedIn CLI (tth) is the same workspace from the terminal, for Claude Code, Codex, scripts and cron jobs. It only drafts too. See the CLI docs.
Is there a LinkedIn API too?
Yes. The Pro plan also includes a REST API for contacts, companies, conversations, drafts, views and activity. See the developer docs.
Which plan includes the MCP?
MCP, CLI and API access come with the Pro plan, alongside sequences, analytics and CRM integrations.
About this repository
This repo holds the MCP Registry entry (server.json) and setup docs for the hosted TalkToHumans server. The server runs at https://api.talktohumans.app/mcp, and its code isn't in this repo.
Found a bug or a missing tool? Open an issue.
Built by TalkToHumans.
来源:README.md,提交 393ae18
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1- v1.1.0最新Oct 25, 2026
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