Comparison
Composio vs MCP Linkedin Post Engager Capture
Composio has more GitHub stars (30,596 vs 0). Composio was updated more recently (last commit 4d ago). Data comes straight from GitHub and refreshes daily.
Composio
Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.
$
pip install composio composio-openai-agents openai-agents
MCP Linkedin Post Engager Capture
Collect the LinkedIn posts a search engine has indexed for profiles and company pages.
$
npx -y @mambalabsdev/mcp-linkedin-post-engager-capture| Metric | Composio | MCP Linkedin Post Engager Capture |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 30,596 | 0 |
| Stars, last 7 days | +24 | n/a |
| Forks | 4,857 | 0 |
| Upvotes | 0 | 0 |
| Language | TypeScript | n/a |
| License | MIT | n/a |
| Last commit | 4d ago | n/a |
| Created | Feb 2024 | n/a |
| Categories | AI & LLM tooling, Search & web, Memory & knowledge | Search & web |