podbeanMCP vs memory

Side-by-side comparison to help you pick between these two MCP servers.

	podbeanMCP by amurshak	memory by modelcontextprotocol
Stars	★ 0	★ 85,748
30d uses	—	—
Score	33	77
Official	—	✓
Categories	MediaProductivityDeveloper Tools	Knowledge GraphAI / LLM ToolsProductivity
Language	Python	TypeScript
Last commit	12 mo ago	this month

podbeanMCP · Summary

MCP server for managing podcasts through the Podbean API with authentication, episodes, and analytics.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

podbeanMCP · Use cases

Automate podcast publishing and management through AI assistants
Access podcast analytics and listener data without leaving your chat interface
Manage multiple podcast accounts and episodes efficiently

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

podbeanMCP · Install

Installation

Via Smithery

npx -y @smithery/cli install @amurshak/podbeanmcp --client claude

Manual Installation

git clone <repository-url>
cd PodbeanMCP
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -e .

Create a .env file with your credentials:

PODBEAN_CLIENT_ID=your_client_id
PODBEAN_CLIENT_SECRET=your_client_secret

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "Podbean MCP": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "/full/path/to/PodbeanMCP/server.py"
      ],
      "env": {
        "PODBEAN_CLIENT_ID": "your_client_id",
        "PODBEAN_CLIENT_SECRET": "your_client_secret"
      }
    }
  }
}

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"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.