filesystem vs clintrials-mcp
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | clintrials-mcp by plainyogurt21 | |
|---|---|---|
| Stars | ★ 85,748 | ★ 0 |
| 30d uses | — | — |
| Score | 77 | 33 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | AI / LLM ToolshealthDeveloper Tools |
| Language | TypeScript | Python |
| Last commit | this month | 7 mo ago |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
clintrials-mcp · Summary
MCP server providing structured access to ClinicalTrials.gov data with search, retrieval, and analysis capabilities.
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
clintrials-mcp · Use cases
- Medical researchers can quickly find relevant clinical trials by condition, intervention, or sponsor
- Healthcare professionals can retrieve detailed trial information including eligibility criteria and results
- Data analysts can examine statistical distributions of trial phases and other parameters across studies
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.
clintrials-mcp · Install
Installation
- Install dependencies:
pip install -r requirements.txt- Run the MCP server:
python mcp_server.pyClaude Desktop Configuration
Add to claude_desktop_config.json:
{
"mcpServers": {
"clintrials": {
"command": "python",
"args": ["mcp_server.py"]
}
}
}Alternative Deployments
The server can be deployed to AWS Lambda, Railway, Render, or run locally with Cloudflare Tunnel.