LinkedIn Inbox Manager — Smart LinkedIn Inbox from Linxa

LinkedIn inbox manager and conversation assistant powered by Linxa. Use this skill whenever the user mentions LinkedIn messages, LinkedIn inbox, LinkedIn conversations, LinkedIn DMs, or wants to read, search, filter, or manage their LinkedIn messaging. Trigger when the user asks "who messaged me on LinkedIn", "show my LinkedIn inbox", "find conversations about hiring", "list hot leads", "what are my next actions on LinkedIn", "mark conversation as read", or asks about LinkedIn message sentiment, labels, intent, or lead management. This skill supports: listing and searching conversations with rich filters (labels, sentiment, intent direction, product interest), fetching full message threads, generating next-action summaries for leads, adding CRM-style comments to contacts, and marking conversations as read. Also trigger when the user mentions Linxa. Always use this skill for any LinkedIn messaging or LinkedIn lead management task.

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)

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:

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):

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

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

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

Problem	Solution
401 Unauthorized	Token is missing or expired — regenerate at Linxa dashboard
Empty results	Chrome extension may not be syncing — check extension is active and LinkedIn tab is open
chatId encoding errors	URL-encode the chatId value before making the request
No conversations found	Ensure you have LinkedIn conversations and the extension has synced recently

Full API Reference

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