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Smart Linkedin Inbox

LinkedIn inbox manager and conversation assistant powered by Linxa.

Rating
4.4 (316 reviews)
Downloads
1,270 downloads
Version
1.0.0

Overview

LinkedIn inbox manager and conversation assistant powered by Linxa.

Complete Documentation

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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:

text
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)

bash
export LINXA_TOKEN=YOUR_TOKEN

Install the skill:

bash
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.

text
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

text
https://app.uselinxa.com

Available Endpoints

1. Verify Current User

text
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

text
GET /api/mcp/conversations

Query parameters (all optional):

ParameterTypeDefaultDescription
limitinteger50Max conversations to return
searchstringKeyword search across messages and participants
labelstringFilter by category label
sentimentstringPOSITIVE, NEGATIVE, or NEUTRAL
primary_intentstringFilter by intent (e.g., "sales", "recruitment")
intent_directionstringto_me or from_me
productstringFilter by detected product interest
Available labels: Hot, Need Follow Up, Personal, Investors, Clients, Inbox, Hiring, Junk, Partnership, archived, scheduled, not-contacted

3. Fetch Messages for a Conversation

text
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

text
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

text
POST /api/mcp/comments

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

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

6. Mark Conversation as Read

text
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
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:

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

Workflow

  • Verify auth — Call /api/mcp/current-li-user to confirm the token works
  • List or search conversations — Use filters to narrow down what the user needs
  • Fetch specific threads — Get the chatId from step 2 and pull full messages
  • Take action — Add comments, mark as read, or review next actions
  • 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

ProblemSolution
401 UnauthorizedToken is missing or expired — regenerate at Linxa dashboard
Empty resultsChrome extension may not be syncing — check extension is active and LinkedIn tab is open
chatId encoding errorsURL-encode the chatId value before making the request
No conversations foundEnsure you have LinkedIn conversations and the extension has synced recently

Full API Reference

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

Installation

Terminal bash

openclaw install smart-linkedin-inbox
    
Copied!

💻Code Examples

Search LinkedIn messages for "partnership proposal"

search-linkedin-messages-for-partnership-proposal.txt
## Quick start (3 minutes)

1. Install the [Linxa Chrome Extension](https://chromewebstore.google.com/detail/ai-smart-inbox-for-linked/ggkdnjblijkchfmgapnbhbhnphacmabm)
2. Sign in at [app.uselinxa.com](https://app.uselinxa.com/) with LinkedIn
3. Copy your token from [MCP Setup](https://app.uselinxa.com/setup-mcp) and set it:

clawhub install smart-linkedin-inbox

clawhub-install-smart-linkedin-inbox.txt
## 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

authorization-bearer-linxatoken.txt
If the token is missing or expired, guide the user to regenerate it at [app.uselinxa.com/setup-mcp](https://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

httpsappuselinxacom.txt
## Available Endpoints

### 1. Verify Current User

GET /api/mcp/current-li-user

get-apimcpcurrent-li-user.txt
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

get-apimcpconversations.txt
**Query parameters (all optional):**

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `limit` | integer | 50 | Max conversations to return |
| `search` | string | — | Keyword search across messages and participants |
| `label` | string | — | Filter by category label |
| `sentiment` | string | — | `POSITIVE`, `NEGATIVE`, or `NEUTRAL` |
| `primary_intent` | string | — | Filter by intent (e.g., "sales", "recruitment") |
| `intent_direction` | string | — | `to_me` or `from_me` |
| `product` | string | — | Filter by detected product interest |

**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}

get-apimcpmessageschatid.txt
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

post-apimcpnext-actions.txt
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/conversations/{chatId}/read

post-apimcpconversationschatidread.txt
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:
example.txt
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"

Tags

#browser_and-automation

Quick Info

Category Web Scrapers
Model Claude 3.5
Complexity One-Click
Author vdybenko
Last Updated 3/10/2026
🚀
Optimized for
Claude 3.5
🧠

Ready to Install?

Get started with this skill in seconds

openclaw install smart-linkedin-inbox