blockrun-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
blockrun-mcp by BlockRunAI | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 464 | ★ 85,748 |
| 30d uses | — | — |
| Score | 52 | 77 |
| Official | — | ✓ |
| Categories | FinanceAI / LLM ToolsSearch | Knowledge GraphAI / LLM ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
blockrun-mcp · Summary
Real-time data MCP server providing markets, research, X/Twitter and crypto data with pay-per-call billing.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
blockrun-mcp · Use cases
- Real-time market data analysis for trading decisions
- Research paper discovery and summarization
- Social media monitoring and trend analysis
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
blockrun-mcp · Install
# Claude Code (recommended)
claude mcp add blockrun -s user -- npx -y @blockrun/mcp@latest
# Claude Desktop
Add to claude_desktop_config.json:
```json
{
"mcpServers": {
"blockrun": {
"command": "npx",
"args": ["-y", "@blockrun/mcp"]
}
}
}Hosted (no install)
claude mcp add blockrun -s user --transport http https://mcp.blockrun.ai/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"]
}
}
}