bgpt-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
bgpt-mcp by connerlambden | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 20 | ★ 85,748 |
| 30d uses | — | — |
| Score | 43 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsresearchDatabase | Knowledge GraphAI / LLM ToolsProductivity |
| Language | JavaScript | TypeScript |
| Last commit | 1 mo ago | this month |
bgpt-mcp · Summary
A remote MCP server for searching scientific papers with full-text experimental data extraction.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
bgpt-mcp · Use cases
- Literature reviews with real experimental data analysis
- Evidence synthesis by grounding AI responses in actual study findings
- Research assistance by finding papers based on methodology or outcomes
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
bgpt-mcp · Install
Installation Options
**Option A: Remote Connection (Recommended)**
For Claude Desktop, add to claude_desktop_config.json:
{
"mcpServers": {
"bgpt": {
"url": "https://bgpt.pro/mcp/sse"
}
}
}For other MCP clients like Cursor, add to .cursor/mcp.json or equivalent config file using the same structure.
**Option B: Via npx**
{
"mcpServers": {
"bgpt": {
"command": "npx",
"args": ["-y", "bgpt-mcp"]
}
}
}**Option C: Install Globally**
npm install -g bgpt-mcpThen add to MCP config:
{
"mcpServers": {
"bgpt": {
"command": "bgpt-mcp"
}
}
}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"]
}
}
}