twitter-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
twitter-mcp by Dishant27 | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 3 | ★ 85,748 |
| 30d uses | — | — |
| Score | 30 | 77 |
| Official | — | ✓ |
| Categories | CommunicationProductivityDeveloper Tools | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 14 mo ago | this month |
twitter-mcp · Summary
MCP server for X (Twitter) integration enabling CRUD operations via Twitter API.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
twitter-mcp · Use cases
- Automate social media posting through AI agents
- Monitor mentions and track engagement on tweets
- Manage Twitter accounts programmatically for businesses
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
twitter-mcp · Install
Installation
- Create an X Developer account and get API keys from [X Developer Portal](https://developer.twitter.com/en/portal/dashboard)
- Set required environment variables:
``bash TWITTER_API_KEY=your_api_key TWITTER_API_SECRET=your_api_secret TWITTER_ACCESS_TOKEN=your_access_token TWITTER_ACCESS_TOKEN_SECRET=your_access_token_secret ``
- Clone and install:
``bash git clone https://github.com/Dishant27/twitter-mcp.git cd twitter-mcp npm install npm start ``
Claude Desktop Configuration
Add to your Claude MCP config file:
{
"name": "x",
"display_name": "X",
"description": "X MCP allows Claude to interact with X (formerly Twitter)",
"path": "path/to/twitter-mcp/dist/index.js",
"startup": {
"env": {
"TWITTER_API_KEY": "your_api_key",
"TWITTER_API_SECRET": "your_api_secret",
"TWITTER_ACCESS_TOKEN": "your_access_token",
"TWITTER_ACCESS_TOKEN_SECRET": "your_access_token_secret"
}
},
"transport": "stdio"
}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"]
}
}
}