smart-linkedin-inbox（智能 LinkedIn 收件箱）

LinkedIn Inbox Manager — Smart LinkedIn Inbox from Linxa

Free AI-powered LinkedIn inbox management: search conversations, filter by sentiment and intent, track leads, and take action — all without sharing your LinkedIn password. No paid plan required.

What you can do

• Search & filter conversations — by keyword, label, sentiment (positive/negative/neutral), intent direction (to you / from you), or product interest
• Read full message threads — pull any conversation in chronological order
• Get next actions — AI-generated summary of what to do next with each lead
• Add comments to leads — attach CRM-style notes to any LinkedIn contact that influence future action recommendations
• Mark conversations as read — keep your inbox organized
• Smart labels — Hot, Need Follow Up, Investors, Clients, Hiring, Partnership, and more
• Secure access — token-based authentication, no LinkedIn password or cookies required
• 100% free — all features included, no paid tiers

Example prompts

Try these with your AI agent:

Who messaged me on LinkedIn this week?
Show my hot conversations with positive sentiment
Find all messages about hiring
List investors who reached out to me
What are my next actions on LinkedIn?
Show the full thread with [person name]
Add a note to John: "Follow up after demo on Friday"
Mark my conversation with Sarah as read
List conversations labeled "Need Follow Up" with intent direction to_me
Search LinkedIn messages for "partnership proposal"

Quick start (3 minutes)

1. Install the Linxa Chrome Extension
2. Sign in at app.uselinxa.com with LinkedIn
3. Copy your token from MCP Setup and set it:

export LINXA_TOKEN=YOUR_TOKEN

Install the skill:

clawhub install smart-linkedin-inbox

Authentication

All requests require the LINXA_TOKEN environment variable. This is a secure bearer token — Linxa never asks for your LinkedIn password or session cookies.

Authorization: Bearer $LINXA_TOKEN

If the token is missing or expired, guide the user to regenerate it at app.uselinxa.com/setup-mcp.

Security model:

• No LinkedIn password sharing — ever
• No browser cookies or session hijacking
• Token-based access with explicit user consent
• All data stays between Linxa servers and your agent
• Revoke access any time from the Linxa dashboard

API Base URL

https://app.uselinxa.com

Available Endpoints

1. Verify Current User

GET /api/mcp/current-li-user

Verifies authentication and returns the current LinkedIn profile. Call this first at the start of a session.

2. List & Search Conversations

GET /api/mcp/conversations

Query parameters (all optional):

Available labels: Hot, Need Follow Up, Personal, Investors, Clients, Inbox, Hiring, Junk, Partnership, archived, scheduled, not-contacted

3. Fetch Messages for a Conversation

GET /api/mcp/messages/{chatId}

Returns all messages in a specific conversation thread. The chatId comes from the conversation list response. URL-encode the chatId if it contains special characters.

4. Generate Inbox Summary & Next Actions

POST /api/mcp/next-actions

Returns an AI-generated summary of recommended next actions across your LinkedIn conversations. Use this when the user asks "what should I do next?" or "what are my priorities on LinkedIn?"

5. Add Comment to a Lead

POST /api/mcp/comments

Attach a CRM-style note to a LinkedIn lead's profile. Comments influence future next-action recommendations. Request body:

{
  "profileId": "PROFILE_ID",
  "text": "Follow up after demo on Friday"
}

6. Mark Conversation as Read

POST /api/mcp/conversations/{chatId}/read

Marks a specific conversation as read. Use when the user says "mark this as read" or wants to clean up their inbox.

How to Make Requests

Use the helper script for authenticated requests:

bash scripts/linxa_api.sh GET /api/mcp/current-li-user
bash scripts/linxa_api.sh GET "/api/mcp/conversations?label=Hot&limit=5"
bash scripts/linxa_api.sh GET "/api/mcp/messages/CHAT_ID_HERE"
bash scripts/linxa_api.sh POST /api/mcp/next-actions
bash scripts/linxa_api.sh POST /api/mcp/comments '{"profileId":"PROFILE_ID","text":"Note here"}'
bash scripts/linxa_api.sh POST "/api/mcp/conversations/CHAT_ID/read"

Or curl directly:

curl -sL \
  -H "Authorization: Bearer $LINXA_TOKEN" \
  "https://app.uselinxa.com/api/mcp/conversations?limit=10&sentiment=POSITIVE"

Workflow

1. Verify auth — Call /api/mcp/current-li-user to confirm the token works
2. List or search conversations — Use filters to narrow down what the user needs
3. Fetch specific threads — Get the chatId from step 2 and pull full messages
4. Take action — Add comments, mark as read, or review next actions
5. Present results clearly — Summarize conversations, highlight key details, format threads chronologically

Response Formatting

When presenting conversations to the user:

• Show participant names, last message preview, and any labels or sentiment tags
• For message threads, display messages in chronological order with sender names and timestamps
• Summarize long threads unless the user asks for the full content
• Highlight unread or high-priority items when available
• For next actions, present as a prioritized actionable list

Troubleshooting

Full API Reference

For the complete OpenAPI specification, read references/openapi.yaml.