everything vs search_docs_mcp
Side-by-side comparison to help you pick between these two MCP servers.
everything by modelcontextprotocol | search_docs_mcp by mostafa-ghaith | |
|---|---|---|
| Stars | ★ 85,748 | ★ 1 |
| 30d uses | — | — |
| Score | 77 | 28 |
| Official | ✓ | — |
| Categories | Developer ToolsAI / LLM ToolsOther | AI / LLM ToolsDeveloper ToolsSearch |
| Language | TypeScript | Python |
| Last commit | this month | 13 mo ago |
everything · Summary
Official MCP test server exercising all protocol features for client builders.
search_docs_mcp · Summary
MCP server for semantic search across AI library documentation using Serper API
everything · Use cases
- Testing MCP client implementations against all protocol features
- Learning MCP protocol capabilities through a reference server
- Validating client compatibility with different transport methods
search_docs_mcp · Use cases
- Search for the latest API documentation in supported AI libraries
- Keep AI agents up-to-date with recent library features and changes
- Quickly find specific implementation details from official docs
everything · Install
NPX (recommended)
{
"mcpServers": {
"everything": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everything"]
}
}
}On Windows, use cmd /c:
{
"mcpServers": {
"everything": {
"command": "cmd",
"args": ["/c", "npx", "-y", "@modelcontextprotocol/server-everything"]
}
}
}Docker
{
"mcpServers": {
"everything": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/everything"]
}
}
}Global install
npm install -g @modelcontextprotocol/server-everything@latest
npx @modelcontextprotocol/server-everythingsearch_docs_mcp · Install
# Clone the repository
git clone https://github.com/mostafa-ghaith/search-docs-mcp.git
cd search-docs-mcp
# Create and activate virtual environment
python -m venv .venv
source .venv/bin/activate
# Install dependencies
pip install -e .
# Create .env file with API key
echo "SERPER_API_KEY=your_api_key_here" > .envFor Claude Desktop, add this to your config:
{
"mcpServers": {
"search-docs-mcp": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/YOUR/search-docs-mcp",
"run",
"main.py"
]
}
}
}