gpt-researcher vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
gpt-researcher by assafelovic | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 27,100 | ★ 85,748 |
| 30d uses | — | — |
| Score | 61 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsWeb ScrapingProductivity | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 1 mo ago | this month |
gpt-researcher · Summary
An autonomous research agent that conducts deep research using any LLM providers with MCP server integration for specialized data sources.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
gpt-researcher · Use cases
- Market research and competitive analysis
- Academic literature review and synthesis
- Technical documentation and research
- Investigation and fact-checking
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
gpt-researcher · Install
Installation
- Install Python 3.11 or later
- Clone the repository:
``bash git clone https://github.com/assafelovic/gpt-researcher.git cd gpt-researcher ``
- Set up API keys in .env file:
``bash export OPENAI_API_KEY={Your OpenAI API Key} export TAVILY_API_KEY={Your Tavily API Key} ``
- Install dependencies:
``bash pip install -r requirements.txt ``
- Run the server:
``bash python -m uvicorn main:app --reload ``
For MCP integration, see [gptr-mcp repository](https://github.com/assafelovic/gptr-mcp)
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.