filesystem vs search_docs_mcp
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | search_docs_mcp by mostafa-ghaith | |
|---|---|---|
| Stars | ★ 85,748 | ★ 1 |
| 30d uses | — | — |
| Score | 77 | 28 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsSearch |
| Language | TypeScript | Python |
| Last commit | this month | 13 mo ago |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
search_docs_mcp · Summary
MCP server for semantic search across AI library documentation using Serper API
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
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
filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.
search_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"
]
}
}
}