linkedin-analytics
Analyze LinkedIn performance and manage engagement through Publora. Use when the user asks how a LinkedIn post or account performed (impressions, reach, reactions, comments, reshares, follower growth) or wants to react, comment, reshare or resolve an @mention. Statistics run over
Install
npx skills add https://github.com/publora/skills/tree/main/skills/linkedin-analytics
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install publora-skills@llmmart
git clone https://github.com/publora/skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole publora/skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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
- Create account at publora.com/register (free)
- Connect LinkedIn via OAuth in Publora Dashboard
- Get API key at app.publora.com/dashboard/api
- Connect your agent to the MCP server at
https://mcp.publora.com, authenticating withAuthorization: Bearer sk_YOUR_API_KEY. In Claude Code:
claude mcp add publora --transport http https://mcp.publora.com \
--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 |
Files (skills)
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SKILL.md 8.7 KB
--- name: linkedin-analytics description: Analyze LinkedIn performance and manage engagement through Publora. Use when the user asks how a LinkedIn post or account performed (impressions, reach, reactions, comments, reshares, follower growth) or wants to react, comment, reshare or resolve an @mention. Statistics run over the REST API, engagement over MCP tools. Not for creating posts (use linkedin-post). --- # 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](https://publora.com/pricing). ### Getting Started 1. **Create account** at [publora.com/register](https://publora.com/register) (free) 2. **Connect LinkedIn** via OAuth in [Publora Dashboard](https://app.publora.com/dashboard) 3. **Get API key** at [app.publora.com/dashboard/api](https://app.publora.com/dashboard/api) 4. **Connect your agent** to the MCP server at `https://mcp.publora.com`, authenticating with `Authorization: Bearer sk_YOUR_API_KEY`. In Claude Code: ```bash claude mcp add publora --transport http https://mcp.publora.com \ --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](https://docs.publora.com/mcp/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`): ```bash # 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](https://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`. ```bash 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: | 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 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 | 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 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 | 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 |
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