feyod-mcp vs memory

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

	feyod-mcp by jeroenvdmeer	memory by modelcontextprotocol
Stars	★ 1	★ 85,748
30d uses	—	—
Score	31	77
Official	—	✓
Categories	AI / LLM ToolsDatabaseOther	Knowledge GraphAI / LLM ToolsProductivity
Language	Python	TypeScript
Last commit	10 mo ago	this month

feyod-mcp · Summary

MCP server for Feyenoord football data queries via natural language interface.

memory · Summary

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

feyod-mcp · Use cases

Querying Feyenoord match results, lineups, and player statistics
Finding information about specific players and their performance
Retrieving historical data about opponents and past matches

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

feyod-mcp · Install

Installation

Using Docker (Recommended)

# Pull the Docker image
docker pull jeroenvdmeer/feyod-mcp

# Run the container
docker run -p 8000:8000 \
  -e LLM_PROVIDER="google" \
  -e LLM_API_KEY="your_api_key" \
  jeroenvdmeer/feyod-mcp

Local Setup

# Clone repositories
git clone https://github.com/jeroenvdmeer/feyod-mcp.git
git clone https://github.com/jeroenvdmeer/feyod.git
cd feyod-mcp

# Create and activate virtual environment
uv venv
source .venv/bin/activate  # or .venv\Scripts\activate on Windows

# Install dependencies
uv add "mcp[cli]" langchain langchain-openai langchain-google-genai python-dotenv aiosqlite

# Set up database
cd ../feyod
sqlite3 feyod.db < feyod.sql

cd ../mcp

Claude Desktop Configuration

Add to Claude Desktop config.json:

{
  "mcpServers": {
    "feyod": {
      "command": "python",
      "args": ["/path/to/feyod-mcp/main.py"],
      "env": {
        "LLM_PROVIDER": "google",
        "LLM_API_KEY": "your_api_key",
        "DATABASE_PATH": "../feyod/feyod.db"
      }
    }
  }
}

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.