AI Plugin IndexBi Linkedin MCP vs Agent-Native Analytics
Bi Linkedin MCP and Agent-Native Analytics are both data and analytics MCP servers. Agent-Native Analytics scores higher (94 vs 45 out of 100). Agent-Native Analytics has more GitHub stars (7.4k), and Agent-Native Analytics was updated more recently (4 days ago). The table compares them side by side.
| Bi Linkedin MCP | Agent-Native Analytics | |
|---|---|---|
| Score | 45 / 100 | 94 / 100 |
| What it does | Model Context Protocol server exposing LinkedIn business-intelligence tools via the official LinkedIn API. | Agent-Native Amplitude/Mixpanel - connect data sources, prompt for charts |
| Publisher | Verified: npm:@cashtokenai | Community: BuilderIO |
| Grades | Licence A, Quality C | Maintenance A, Licence A, Quality A |
| npm downloads a week | 6 | Not on npm |
| Runs | Local | Remote |
| Works with | Claude Code, Claude Desktop, Cursor, Codex, Gemini CLI, VS Code, Windsurf | Claude Code, Claude Desktop, Cursor, Codex, Gemini CLI, VS Code, Windsurf, ChatGPT |
| GitHub stars | 0 | 7,449 |
| Last commit | 19 Oct 2026 | |
| Licence | MIT | MIT |
| Listed since | 20 Oct 2026 | 19 Oct 2026 |
| Install Bi Linkedin MCP | Install Agent-Native Analytics |
Questions
Is Bi Linkedin MCP or Agent-Native Analytics more popular?
Agent-Native Analytics has more GitHub stars: 7,449.
Can I use Bi Linkedin MCP and Agent-Native Analytics together?
Yes. AI assistants can load several MCP servers at once. Install both and the assistant picks the right one for each task.