About linkedin-analytics
A skill for monitoring LinkedIn post and profile statistics and interacting with posts through Publora. Analytics are queried through the REST API, while reactions, comments, reshares, and mention lookup are available as MCP tools.
Key features
- 01Retrieve post engagement metrics
- 02Track account statistics and follower growth
- 03React to and comment on posts
- 04Reshare posts with commentary
- 05Resolve names for @mentions
Use cases
- 01Review recent post performance
- 02Track follower growth over time
- 03React to a colleague’s post and comment
- 04Find a member for an @mention
MCP support
Publora MCP tools support reactions, comments, reshares, and mention lookups. LinkedIn analytics are not exposed as MCP tools and must be queried through the REST API.
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ publora/ skills --skill linkedin-analyticsAfter installing, type/linkedin-analyticsin Claude Code to confirm it loaded.
Details
From the project READMELinkedIn Analytics
Track impressions, engagement and follower growth for your LinkedIn posts and profile, and interact with posts through reactions, comments and reshares. Statistics come from the REST API; reactions, comments, reshares and mention lookups are MCP tools.
Prerequisites
Plans: Works on the free Starter plan. Current limits and pricing: publora.com/pricing.
Getting Started
- Create account at publora.com/register (free)
- Connect LinkedIn via OAuth in Publora Dashboard
- Get an API key at app.publora.com/dashboard/api, only if your agent cannot sign in with OAuth or you will use the REST API fallback below
- Connect your agent to the MCP server at
https://mcp.publora.com/mcp:- Upgrading a manual connection without
/mcp: Claude treatshttps://mcp.publora.comas a different server from the bundled one. Change that existing connection tohttps://mcp.publora.com/mcpin its current scope, preserving its authentication and chosen account; sign in again if requested. Alternatively, verify the bundled connection uses the intended account, then remove only the old manual entry. Do not add a second entry or delete credentials automatically. - Publora tools already available (the
publora-skillsplugin or the Publora connector in Claude): nothing to set up. Claude asks you to sign in to Publora the first time a tool runs. - Agents that support OAuth (Claude Code, Cursor, and the Claude and ChatGPT apps): add the server by URL and sign in, no API key needed. In Claude Code, add it and then run
/mcpto sign in:
- Upgrading a manual connection without
claude mcp add --transport http --scope user publora https://mcp.publora.com/mcp
- Agents without OAuth: send the API key as
Authorization: Bearer sk_YOUR_API_KEY:
claude mcp add --transport http --scope user publora https://mcp.publora.com/mcp \
--header "Authorization: Bearer sk_YOUR_API_KEY"
Claude Desktop, Cursor, Codex, OpenClaw and the claude.ai connector each need a different config file or flow: see client setup for the exact path and snippet.
REST API Fallback
If the MCP server is unavailable or returns errors, use the REST API directly:
Base URL: https://api.publora.com/api/v1
Authentication: Use x-publora-key header (NOT Authorization: Bearer):
# Get your connected platforms
curl -X GET "https://api.publora.com/api/v1/platform-connections" \
-H "x-publora-key: sk_your_api_key"
# Get post statistics
curl -X POST "https://api.publora.com/api/v1/linkedin-post-statistics" \
-H "x-publora-key: sk_your_api_key" \
-H "Content-Type: application/json" \
-d '{
"platformId": "linkedin-abc123",
"postedId": "urn:li:share:7123456789012345678",
"queryTypes": "ALL"
}'
# Get account statistics
curl -X POST "https://api.publora.com/api/v1/linkedin-account-statistics" \
-H "x-publora-key: sk_your_api_key" \
-H "Content-Type: application/json" \
-d '{
"platformId": "linkedin-abc123",
"queryTypes": "ALL"
}'
Platform ID Format: linkedin-{id} where {id} is from /platform-connections response.
Example IDs: linkedin-Tz9W5i6ZYG, linkedin-abc123xyz
📖 Full API documentation: docs.publora.com
Analytics Tools (REST only)
LinkedIn analytics are not exposed as MCP tools. The MCP server carries posting, media and LinkedIn engagement tools; statistics live only on the REST API, so call these endpoints directly with the x-publora-key header. Asking an agent for an linkedin_post_stats MCP tool will fail: there is no such tool.
POST /linkedin-post-statistics
Engagement metrics for one post.
Body:
platformId: platform connection ID (e.g.linkedin-abc123), fromlist_connectionspostedId: post URN (urn:li:share:...orurn:li:ugcPost:...)queryTypes(optional):IMPRESSION,MEMBERS_REACHED,RESHARE,REACTION,COMMENT, orALL
Returns: impressions, unique impressions (members reached), reactions, comments, reshares, and a cached flag telling you whether the numbers came from cache.
POST /linkedin-account-statistics
Aggregated statistics for the account.
Body: platformId, optional queryTypes, optional aggregation (DAILY or TOTAL, default TOTAL).
POST /linkedin-followers
Follower count or growth over time.
Body: platformId, optional period (lifetime or daily), optional dateRange ({start: {year, month, day}, end: {year, month, day}}).
POST /linkedin-profile-summary
Combined profile overview: followers plus statistics.
Body: platformId, optional dateRange.
curl -X POST "https://api.publora.com/api/v1/linkedin-post-statistics" \
-H "x-publora-key: sk_your_api_key" \
-H "Content-Type: application/json" \
-d '{"platformId": "linkedin-abc123", "postedId": "urn:li:share:7123456789012345678", "queryTypes": "ALL"}'
Engagement Tools
linkedin_create_reaction
React to a LinkedIn post.
Parameters:
postedId: LinkedIn post URNplatformId: Platform connection IDreactionType: One of the following:
| Type | Description |
|---|---|
LIKE | Standard thumbs up |
PRAISE | Clapping hands / applause |
EMPATHY | Heart / love |
INTEREST | Lightbulb / insightful |
APPRECIATION | Supportive |
ENTERTAINMENT | Funny / laughing |
linkedin_delete_reaction
Remove your reaction from a post.
Parameters:
postedId: LinkedIn post URNplatformId: Platform connection ID
linkedin_create_comment
Post a comment on a LinkedIn post (max 1,250 characters).
Parameters:
postedId: LinkedIn post URNplatformId: Platform connection IDmessage: Comment text (max 1,250 characters)parentComment(optional): Comment URN for nested replies
linkedin_delete_comment
Remove a comment you made.
Parameters:
postedId: LinkedIn post URNcommentId: Comment URN or numeric IDplatformId: Platform connection ID
linkedin_create_reshare
Reshare an existing post, with optional commentary.
Parameters:
platformId: platform connection IDparent: the post to reshare, as a share URN (urn:li:share:...orurn:li:ugcPost:...). Note the name: this tool takesparent, notpostedIdlike the reaction and comment tools.commentary(optional): your text above the reshare, up to 3,000 charactersvisibility(optional):PUBLICorCONNECTIONS, defaultPUBLIC.CONNECTIONSis for personal accounts.
Note: a LinkedIn feed URL carries an activity id, which is not always the same as the share id. Use the postedId returned by get_post, not a hand-converted activity id.
linkedin_list_mentionables
Resolve names to the URNs that @mentions need, so you never hand-write a member id.
Parameters:
q(optional): the name to search forlimit(optional): how many results to return
Both are optional, and this tool takes no platformId: it searches across the account rather than one connection.
Example Prompts
Weekly Performance Review
Analyze my LinkedIn performance for the last 7 days.
Show me:
1. Which posts performed best
2. My engagement rate trends
3. Follower growth
4. Recommendations for improvement
Post Analysis
Get detailed stats for my last 5 LinkedIn posts and identify patterns in what content resonates with my audience.
Engagement Campaign
React with PRAISE to my colleague's post about their promotion (urn:li:share:123456) and add a congratulatory comment.
Follower Tracking
Show my LinkedIn follower growth for the last 30 days. How many new followers did I gain each week?
Metrics Reference
| Metric | Description |
|---|---|
IMPRESSION | Total times content appeared in feeds |
MEMBERS_REACHED | Unique LinkedIn members who saw the post |
RESHARE | Number of reposts/shares |
REACTION | Total reactions (all types combined) |
COMMENT | Number of comments |
Engagement Rate Benchmarks
Average LinkedIn engagement rates by follower count:
| Followers | Good Engagement Rate |
|---|---|
| < 5K | 3-5% |
| 5K-50K | 2-3% |
| 50K+ | 1-2% |
Good performing posts typically have:
- 2x your average impressions
- Comment-to-reaction ratio above 10%
- Engagement rate above your baseline
Important Notes
-
Analytics delay: LinkedIn analytics may take up to 24 hours to fully populate. Querying immediately after posting returns partial data.
-
URN formats: LinkedIn URLs use
urn:li:activity:xxxbut the API requiresurn:li:share:xxxorurn:li:ugcPost:xxx. Use thepostedIdfrom Publora'sget_postresponse for accurate URNs. -
Caching: Analytics responses may be cached. The response includes a
cachedfield indicating if data came from cache. -
Rate limits: LinkedIn has approximately 200+ API calls per hour. Implement backoff on 429 errors.
Troubleshooting
| Error | Cause | Solution |
|---|---|---|
| "Platform ID not found" | Invalid connection ID | Run list_connections to get valid IDs |
| "Post not found" | Wrong URN format | Use urn:li:share: or urn:li:ugcPost: format |
| 429 Too Many Requests | Rate limited | Wait and retry with exponential backoff |
| "message cannot exceed 1250 characters" | Comment too long | Shorten comment to under 1,250 chars |