AIRA-SemanticScholar vs memory
Side-by-side comparison to help you pick between these two MCP servers.
AIRA-SemanticScholar by hamid-vakilzadeh | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 22 | ★ 85,748 |
| 30d uses | — | — |
| Score | 43 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsKnowledge GraphSearch | Knowledge GraphAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 2 mo ago | this month |
AIRA-SemanticScholar · Summary
MCP server providing AI models with access to Semantic Scholar Academic Graph API for literature search and analysis.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
AIRA-SemanticScholar · Use cases
- Academic researchers conducting literature reviews in specific fields
- AI assistants needing to access and analyze research papers
- Research institutions building custom knowledge management systems
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
AIRA-SemanticScholar · Install
Installation
- Using npx:
{
"mcpServers": {
"aira-semanticscholar": {
"command": "npx",
"args": ["-y", "aira-semanticscholar"]
}
}
}- Using Smithery:
Visit the [Smithery listing](https://smithery.ai/server/@hamid-vakilzadeh/mcpsemanticscholar) for more installation options.
- For full-text access to Wiley papers, add the WILEY_TDM_CLIENT_TOKEN environment variable:
{
"mcpServers": {
"aira-semanticscholar": {
"command": "npx",
"args": ["-y", "aira-semanticscholar"],
"env": {
"WILEY_TDM_CLIENT_TOKEN": "your-token-here"
}
}
}
}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"]
}
}
}