jinaai-mcp-server vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
jinaai-mcp-server by cyanheads | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 0 | ★ 85,748 |
| 30d uses | — | — |
| Score | 33 | 77 |
| Official | — | ✓ |
| Categories | Web ScrapingAI / LLM ToolsDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 9 mo ago | this month |
jinaai-mcp-server · Summary
A production-ready MCP server that enables AI systems to read and extract clean content from webpages using the Jina AI Reader API.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
jinaai-mcp-server · Use cases
- Automating research by extracting content from multiple articles and documentation sources
- Enabling AI assistants to access real-time web information for up-to-date responses
- Integrating web content processing into AI workflows without leaving the host application
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
jinaai-mcp-server · Install
Prerequisites
- Node.js (>=18.0.0)
- npm
Installation
Using MCP Client Settings
Add the following to your MCP client's configuration file:
{
"mcpServers": {
"jinaai-mcp-server": {
"command": "npx",
"args": ["@cyanheads/jinaai-mcp-server"],
"env": {
"MCP_TRANSPORT_TYPE": "http",
"MCP_HTTP_PORT": "3018",
"JINA_API_KEY": "YOUR_JINA_API_KEY_HERE"
}
}
}
}From Source
- Clone the repository:
``bash git clone https://github.com/cyanheads/jinaai-mcp-server.git cd jinaai-mcp-server ``
- Install dependencies:
``bash npm install ``
- Build the project:
``bash npm run build ``
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.