# GitHub Copilot LinkedIn DMs: Triage, Reply, CRM | SealGate Triage and reply to LinkedIn DMs from VS Code with GitHub Copilot, sync threads to your CRM and set reminders through SealGate. You approve every send. 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Part of the [LinkedIn DMs setup guide](https://sealgate.ai/connect/linkedin) , which covers every agent and how the connection works under the hood. Paste this into your coding agent, or run it yourself in a terminal. Agent prompt easier Terminal faster ## Set up GitHub Copilot for LinkedIn DMs, step by step - 1 ### Create your SealGate account from this link If you do not already have a SealGate account, sign up at the link below. Starting from it pre-approves the Beeper connector for your new account, so after you install there is nothing to approve by hand. Already have an account? Skip ahead and you will approve Beeper once in the dashboard (last step). https://dashboard.sealgate.ai/start/personal-messaging?utm_source=sealgate.ai&utm_campaign=seo-connect&utm_content=linkedin-copilot - 2 ### Install the messaging connector Run the one-line installer for your OS (macOS or Windows). It installs sealgate-stdiod and the Beeper connector, which bridges your messaging accounts through the Beeper desktop app on your own logins, and connects it to your SealGate account. If you signed up through the link above it is approved automatically; otherwise it waits for a one-time approval in your dashboard. macOS / Linux Windows (PowerShell) curl -fsSL https://sealgate.ai/install-beeper.sh | SEALGATE_UTM_CAMPAIGN=seo-connect SEALGATE_UTM_CONTENT=linkedin-copilot bash $env:SEALGATE_UTM_CAMPAIGN='seo-connect'; $env:SEALGATE_UTM_CONTENT='linkedin-copilot'; powershell -ExecutionPolicy Bypass -Command "irm https://sealgate.ai/install-beeper.ps1 | iex" - 3 ### Add SealGate as an MCP server in VS Code In VS Code with GitHub Copilot, create .vscode/mcp.json in your workspace with the snippet below. Open Copilot Chat in agent mode, start the sealgate server when VS Code prompts you and sign in with OAuth. { "servers": { "sealgate": { "type": "http", "url": "https://mcp.sealgate.ai/mcp" } } } - 4 ### Approve the connector if you skipped the signup link If you created your account through the signup link above, Beeper is already approved, so you are done. Otherwise, open the SealGate dashboard and approve the Beeper connector once. Either way every call the agent makes is policy-checked and logged, and you can keep it read-only until you want the agent to reply on your behalf. - 5 ### Ask Copilot in agent mode Open Copilot Chat, switch to agent mode and describe the task. Copilot calls the messaging tools through SealGate, shows you its drafts and sends only after you confirm. Summarize my unread messages and draft replies to the ones that need one. Please help me connect LinkedIn DMs to GitHub Copilot through SealGate on my machine. If I do not already have a SealGate account, have me sign up at https://dashboard.sealgate.ai/start/personal-messaging?utm_source=sealgate.ai&utm_campaign=seo-connect&utm_content=linkedin-copilot first, since starting there pre-approves the Beeper connector. Then follow the setup steps at https://sealgate.ai/connect/linkedin/copilot.md and stop whenever I need to act myself: approving this device in the browser when the installer asks, and, only if I already had an account, approving the Beeper connector in the SealGate dashboard. Requires macOS or Windows (Linux is experimental) with the Beeper desktop app installed. ## Connecting GitHub Copilot GitHub Copilot adds the SealGate gateway as an MCP server, for example in a .vscode/mcp.json file, so it can use your messaging tools while you code in VS Code and on github.com. See the [GitHub Copilot setup guide](https://sealgate.ai/docs/getting-started) for the exact steps. ## What GitHub Copilot can do with LinkedIn DMs - Sync your LinkedIn DMs to your CRM so no conversation slips through. - Draft follow-ups to warm replies for you to review and send. - Triage inbound messages and surface the ones that look like real leads. - Pull context on a contact from a thread before your next call. Ready to let GitHub Copilot handle your LinkedIn DMs? Paste the setup prompt into your coding agent and you are connected in a couple of minutes. Copy setup prompt [New to SealGate? Create your account first](https://dashboard.sealgate.ai/start/personal-messaging?utm_source=sealgate.ai&utm_campaign=seo-connect&utm_content=linkedin-copilot) ## A LinkedIn inbox session with GitHub Copilot A developer advocate between releases, clearing inbound LinkedIn DMs from Copilot Chat in VS Code without leaving the editor. Copilot calls the Beeper tools through SealGate in the order shown and confirms before every send. You: I have been heads-down on the SDK release. What is waiting in my LinkedIn inbox? Draft replies to anyone asking about the SDK. Copilot: beeper_search_chats { unreadOnly: true, limit: 20, query: "linkedin", scope: "titles" } beeper_search_messages { chatIDs: ["linkedin:priya-shah", "linkedin:tom-reyes", "linkedin:lena-koch"], query: "SDK", sender: "others" } beeper_get_chat { chatID: "linkedin:priya-shah" } and 2 more beeper_list_messages { chatID: "linkedin:priya-shah" } and 2 more 9 unread. 3 are about the SDK, 2 are conference speaking invites, 4 are connection thank-yous with no question. SDK threads: 1. Priya S. gets a 401 with the new auth flow and asked for the migration guide. 2. Tom R., who maintains a popular open-source client, asked if the SDK is on PyPI yet. 3. Lena K. asked whether streaming is supported. Draft to Priya: "Hi Priya, a 401 there is almost always the old token format. The migration guide is in the docs under Auth v2. Ping me if it still fails after that." Draft to Tom: "Hi Tom, yes, 1.2 went to PyPI yesterday. Would love your feedback on the client integration." Lena: streaming lands in the next release and I do not have a date yet, so I have not drafted a reply. Send the first two? (yes / edit / skip) You: Send both. Remind me about Lena's thread on Friday morning. Copilot: beeper_send_message { chatID: "linkedin:priya-shah", text: "Hi Priya, a 401 there is almost always ..." } beeper_send_message { chatID: "linkedin:tom-reyes", text: "Hi Tom, yes, 1.2 went to PyPI yesterday. ..." } beeper_set_chat_reminder { chatID: "linkedin:lena-koch", reminder: { remindAtMs: 1788512400000, dismissOnIncomingMessage: true } } Sent 2, reminder set for Friday 09:00. The two speaking invites are still unread. ## Daily LinkedIn DM workflow - Inbox sweep while a build runs: ask Copilot for unread LinkedIn threads and a one-line summary of each, then pick the ones worth a reply. - Answers with pointers: Copilot drafts replies that reference the right docs page or changelog entry, and you send them from the same chat panel after a read-through. - CRM sync: developers who ask about pricing or a team plan get summarized and written to your CRM, for example HubSpot, Attio or Twenty, so sales sees them the same day. - Reminders: threads blocked on a release get a beeper_set_chat_reminder that clears itself if the other person messages first. ## Keeping LinkedIn automation safe Copilot reaches LinkedIn the same way you do: through the Beeper desktop app signed in to your own account on your Mac. There is no scraper, no browser extension and no LinkedIn cookie handed to a hosted service. SealGate sees tool calls and never your credentials. The SealGate dashboard sets a policy per agent. Many teams start Copilot as read-only, so beeper_search_chats and beeper_list_messages work but beeper_send_message is refused at the gateway, and open up sends once the drafts have earned it. Each call lands in the audit log as metadata: which tool, when and which agent. Message content is never stored, so the record of what Copilot did is reviewable without a copy of your inbox existing anywhere. A prompt cannot skip the approval step. Copilot shows the draft and waits, and if a message in the thread tries to talk it into sending without asking, the send policy still applies. ## Why connect LinkedIn DMs through SealGate One setup for every app, works with cloud and mobile agents, fully governed and logged, and your messages are never stored. ### One setup, every network The same command connects your whole unified inbox, so you are not wiring up a separate bridge for each app. ### Works with cloud and mobile agents A local daemon tunnels the connector out, so ChatGPT, Claude, and other cloud agents can use it, not just CLI tools. ### Governed and logged Every tool call runs through SealGate policies and lands in an audit trail that records only metadata, never your message content, so access stays under your control. ### SealGate never stores your messages Message content only passes through in transit to be checked against your policies, and is never stored or read by anyone at SealGate. ## Related guides [ChatGPT on LinkedIn DMs](https://sealgate.ai/connect/linkedin/chatgpt) [Use Claude with LinkedIn DMs](https://sealgate.ai/connect/linkedin/claude) [Codex on LinkedIn DMs](https://sealgate.ai/connect/linkedin/codex) [LinkedIn DMs to OpenCode](https://sealgate.ai/connect/linkedin/opencode) [Connect Devin to LinkedIn DMs](https://sealgate.ai/connect/linkedin/devin) [LinkedIn DMs to Grok](https://sealgate.ai/connect/linkedin/grok) [Connect Grokbot to LinkedIn DMs](https://sealgate.ai/connect/linkedin/grokbot) [Use Hermes with LinkedIn DMs](https://sealgate.ai/connect/linkedin/hermes) [OpenClaw on LinkedIn DMs](https://sealgate.ai/connect/linkedin/openclaw) [LinkedIn DMs to Lovable](https://sealgate.ai/connect/linkedin/lovable) [Use Replit with LinkedIn DMs](https://sealgate.ai/connect/linkedin/replit) [Use Muse with LinkedIn DMs](https://sealgate.ai/connect/linkedin/muse) [Use Town with LinkedIn DMs](https://sealgate.ai/connect/linkedin/town) [Connect GitHub Copilot to WhatsApp](https://sealgate.ai/connect/whatsapp/copilot) [Connect GitHub Copilot to iMessage](https://sealgate.ai/connect/imessage/copilot) [GitHub Copilot on Telegram](https://sealgate.ai/connect/telegram/copilot) [Use GitHub Copilot with Signal](https://sealgate.ai/connect/signal/copilot) [Connect GitHub Copilot to Instagram DMs](https://sealgate.ai/connect/instagram/copilot) [Messenger to GitHub Copilot](https://sealgate.ai/connect/messenger/copilot) [Connect GitHub Copilot to X DMs](https://sealgate.ai/connect/x/copilot) [Connect GitHub Copilot to Discord DMs](https://sealgate.ai/connect/discord/copilot) [Connect GitHub Copilot to LINE](https://sealgate.ai/connect/line/copilot) [All LinkedIn DMs setups](https://sealgate.ai/connect/linkedin) [SealGate vs other MCP gateways](https://sealgate.ai/comparison) ## Connecting LinkedIn DMs to GitHub Copilot: FAQ Can GitHub Copilot read and send LinkedIn DMs messages? Yes. GitHub Copilot adds the SealGate gateway as an MCP server, which exposes your LinkedIn DMs tools. It can use them to read and send LinkedIn DMs messages while you code. Can an AI agent manage my LinkedIn DMs? Yes. Once connected through SealGate, your agent can read, draft, and send LinkedIn direct messages, from local tools or cloud apps like ChatGPT and Claude. Can it sync LinkedIn DMs to my CRM? Yes. Syncing LinkedIn conversations into a CRM is one of the workflows this was built for, so replies and context land next to the right contact automatically. Is automating LinkedIn messages safe? It runs on your own account through the Beeper desktop app, and SealGate logs the metadata of every action (which tool ran, when, and by which agent), never the content of your DMs. Keep a human in the loop for outreach: let the agent draft, and you approve before anything sends. What does SealGate store about my messages? SealGate routes each tool call to your connector and back, holding the request and response in memory only long enough to apply your policies, then discarding them. That check is automated: the gateway inspects the traffic programmatically to enforce your rules, and no one at SealGate can read your messages. They are never persisted and never used to train any model. SealGate keeps only call metadata (which tool ran, when, and which agent ran it), never the tool-call parameters or results, so your conversations and who you are talking to are never stored on SealGate's servers. Does it work with cloud agents, not just CLI tools? Yes. A small local daemon called stdiod tunnels your local LinkedIn connector to any cloud or mobile agent, so apps like ChatGPT and Claude can use it too, not just CLI tools on the same machine. Want the full walkthrough? 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