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linkedin-analytics

linkedin-analytics

github.com/publoraMarketing & growth61207 installsUpdated 1d ago
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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

  1. 01Retrieve post engagement metrics
  2. 02Track account statistics and follower growth
  3. 03React to and comment on posts
  4. 04Reshare posts with commentary
  5. 05Resolve names for @mentions

Use cases

  1. 01Review recent post performance
  2. 02Track follower growth over time
  3. 03React to a colleague’s post and comment
  4. 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-analytics

After installing, type/linkedin-analyticsin Claude Code to confirm it loaded.

Details

From the project README

LinkedIn 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
  1. Create account at publora.com/register (free)
  2. Connect LinkedIn via OAuth in Publora Dashboard
  3. 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
  4. Connect your agent to the MCP server at https://mcp.publora.com/mcp:
    • Upgrading a manual connection without /mcp: Claude treats https://mcp.publora.com as a different server from the bundled one. Change that existing connection to https://mcp.publora.com/mcp in 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-skills plugin 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 /mcp to sign in:
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), from list_connections
  • postedId: post URN (urn:li:share:... or urn:li:ugcPost:...)
  • queryTypes (optional): IMPRESSION, MEMBERS_REACHED, RESHARE, REACTION, COMMENT, or ALL

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 URN
  • platformId: Platform connection ID
  • reactionType: One of the following:
TypeDescription
LIKEStandard thumbs up
PRAISEClapping hands / applause
EMPATHYHeart / love
INTERESTLightbulb / insightful
APPRECIATIONSupportive
ENTERTAINMENTFunny / laughing
linkedin_delete_reaction

Remove your reaction from a post.

Parameters:

  • postedId: LinkedIn post URN
  • platformId: Platform connection ID
linkedin_create_comment

Post a comment on a LinkedIn post (max 1,250 characters).

Parameters:

  • postedId: LinkedIn post URN
  • platformId: Platform connection ID
  • message: 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 URN
  • commentId: Comment URN or numeric ID
  • platformId: Platform connection ID
linkedin_create_reshare

Reshare an existing post, with optional commentary.

Parameters:

  • platformId: platform connection ID
  • parent: the post to reshare, as a share URN (urn:li:share:... or urn:li:ugcPost:...). Note the name: this tool takes parent, not postedId like the reaction and comment tools.
  • commentary (optional): your text above the reshare, up to 3,000 characters
  • visibility (optional): PUBLIC or CONNECTIONS, default PUBLIC. CONNECTIONS is 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 for
  • limit (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

MetricDescription
IMPRESSIONTotal times content appeared in feeds
MEMBERS_REACHEDUnique LinkedIn members who saw the post
RESHARENumber of reposts/shares
REACTIONTotal reactions (all types combined)
COMMENTNumber of comments

Engagement Rate Benchmarks

Average LinkedIn engagement rates by follower count:

FollowersGood Engagement Rate
< 5K3-5%
5K-50K2-3%
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

  1. Analytics delay: LinkedIn analytics may take up to 24 hours to fully populate. Querying immediately after posting returns partial data.

  2. URN formats: LinkedIn URLs use urn:li:activity:xxx but the API requires urn:li:share:xxx or urn:li:ugcPost:xxx. Use the postedId from Publora's get_post response for accurate URNs.

  3. Caching: Analytics responses may be cached. The response includes a cached field indicating if data came from cache.

  4. Rate limits: LinkedIn has approximately 200+ API calls per hour. Implement backoff on 429 errors.

Troubleshooting

ErrorCauseSolution
"Platform ID not found"Invalid connection IDRun list_connections to get valid IDs
"Post not found"Wrong URN formatUse urn:li:share: or urn:li:ugcPost: format
429 Too Many RequestsRate limitedWait and retry with exponential backoff
"message cannot exceed 1250 characters"Comment too longShorten comment to under 1,250 chars

Comments

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