gemini-webapi-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
gemini-webapi-mcp by AndyShaman | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 27 | ★ 85,748 |
| 30d uses | — | — |
| Score | 44 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsMediaBrowser Automation | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 2 mo ago | this month |
gemini-webapi-mcp · Summary
MCP server for Google Gemini that provides image generation, editing, chat, and file analysis via browser cookies.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
gemini-webapi-mcp · Use cases
- Generate and edit images through natural language prompts
- Analyze documents, videos and web pages
- Have conversations with Gemini Flash and Pro models
- Create high-resolution artwork without watermarks
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
gemini-webapi-mcp · Install
Installation
**From GitHub (no clone needed):**
uv run --with "gemini-webapi-mcp @ git+https://github.com/AndyShaman/gemini-webapi-mcp.git" gemini-webapi-mcp**Local install:**
git clone https://github.com/AndyShaman/gemini-webapi-mcp.git
cd gemini-webapi-mcp
uv sync
uv run gemini-webapi-mcp**Claude Desktop Configuration:**
Add to claude_desktop_config.json:
{
"mcpServers": {
"gemini": {
"command": "uv",
"args": ["run", "--with", "gemini-webapi-mcp @ git+https://github.com/AndyShaman/gemini-webapi-mcp.git", "gemini-webapi-mcp"]
}
}
}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"]
}
}
}