mcp-linkedin vs memory
Side-by-side comparison to help you pick between these two MCP servers.
mcp-linkedin by adhikasp | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 201 | ★ 85,748 |
| 30d uses | — | — |
| Score | 41 | 77 |
| Official | — | ✓ |
| Categories | CommunicationDeveloper ToolsProductivity | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 16 mo ago | this month |
mcp-linkedin · Summary
MCP server for LinkedIn API interactions with job search and feed retrieval tools.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mcp-linkedin · Use cases
- Automatically retrieving LinkedIn feed posts without manual browsing
- Searching and analyzing job listings against personal resumes
- Integrating LinkedIn data into AI workflows for professional networking
- Monitoring industry trends through LinkedIn posts
memory · Use cases
- Personalizing AI assistant interactions by remembering user preferences, history, and relationships
- Building context-aware chat applications that maintain conversation history
- Creating knowledge bases that persist across AI model sessions
mcp-linkedin · Install
Installation
Via Smithery:
npx -y @smithery/cli install mcp-linkedin --client claudeManual Configuration:
{
"mcpServers": {
"linkedin": {
"command": "uvx",
"args": ["--from", "git+https://github.com/adhikasp/mcp-linkedin", "mcp-linkedin"],
"env": {
"LINKEDIN_EMAIL": "your_linkedin_email",
"LINKEDIN_PASSWORD": "your_linkedin_password"
}
}
}
}memory · Install
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}VS Code
Use one-click installation buttons or manually configure in .vscode/mcp.json:
{
"servers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}Docker
{
"mcpServers": {
"memory": {
"command": "docker",
"args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
}
}
}