bing-search-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
bing-search-mcp by leehanchung | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 79 | ★ 85,748 |
| 30d uses | — | — |
| Score | 40 | 77 |
| Official | — | ✓ |
| Categories | SearchAI / LLM Tools | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 14 mo ago | this month |
bing-search-mcp · Summary
MCP server providing web, news and image search capabilities via Bing Search API.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
bing-search-mcp · Use cases
- Enable AI assistants to perform real-time web searches for current information
- Retrieve the latest news articles for timely information gathering
- Find and process visual content through Bing's image search capabilities
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
bing-search-mcp · Install
Installation
- Clone the repository
- Install dependencies:
`` uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate uv pip install -e . ``
Configuration
Set the required environment variables:
export BING_API_KEY="your-bing-api-key"
export BING_API_URL="https://api.bing.microsoft.com/" # OptionalClaude Desktop Configuration
Add the following to your Claude Desktop configuration file:
{
"mcpServers": {
"bing-search": {
"command": "uvx",
"args": [
"/path/to/your/bing-search-mcp"
],
"env": {
"BING_API_KEY": "your-bing-api-key"
}
}
}
}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"]
}
}
}