linkedin-analytics
Analyze LinkedIn performance and manage engagement through Publora.
Skill by publora
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/publora-linkedin-analytics-ef486e
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: frontend, backend, data, marketing
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What's inside
- Skill 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).
- License
- MIT
- Instructions
- 241 lines in SKILL.md Β· view on GitHub
Before installing
- Instructions call the network
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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 an API key** at [app.publora.com/dashboard/api](https://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:
```bash
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`:
```bash
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](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`
π **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 |From publora/skills, MIT.
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Signals
- Stars
- 58
- Forks
- 6
- Open issues
- 1
- Last commit (this folder)
- Oct 12, 2026 (16 days ago)
- Last release
- Oct 12, 2026 (16 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/publora/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
linkedin-analytics skill. Agent Mart. https://agentmart.dev/skills/publora-linkedin-analytics-ef486e (last updated 2026-10-24)