mcp-telegram vs memory
Side-by-side comparison to help you pick between these two MCP servers.
mcp-telegram by dryeab | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 243 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | CommunicationAI / LLM Tools | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 11 mo ago | this month |
mcp-telegram · Summary
MCP server enabling LLMs to interact with Telegram through messaging, search, and media operations.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
mcp-telegram · Use cases
- Automating Telegram messaging workflows through AI agents
- Integrating Telegram notifications into AI-powered assistants
- Analyzing or processing Telegram message content with LLMs
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-telegram · Install
Installation
- Install prerequisites:
- Python 3.10 or higher - uv (follow [official uv guide](https://github.com/astral-sh/uv#installation))
- Install the CLI tool:
uv tool install mcp-telegram- Authenticate with your Telegram account:
mcp-telegram login- Configure your MCP client (e.g., Claude Desktop) with:
{
"mcpServers": {
"mcp-telegram": {
"command": "mcp-telegram",
"args": ["start"],
"env": {
"API_ID": "<your_api_id>",
"API_HASH": "<your_api_hash>"
}
}
}
}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"]
}
}
}