filesystem vs sec-edgar-mcp
Side-by-side comparison to help you pick between these two MCP servers.
filesystem by modelcontextprotocol | sec-edgar-mcp by stefanoamorelli | |
|---|---|---|
| Stars | ★ 85,748 | ★ 266 |
| 30d uses | — | — |
| Score | 77 | 51 |
| Official | ✓ | — |
| Categories | File SystemDeveloper ToolsProductivity | FinanceAI / LLM ToolsDeveloper Tools |
| Language | TypeScript | Python |
| Last commit | this month | this month |
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
sec-edgar-mcp · Summary
MCP server providing AI assistants with precise access to SEC EDGAR financial filings and company data.
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
sec-edgar-mcp · Use cases
- Financial analysis and research using parsed SEC data
- Compliance monitoring through automated filing analysis
- Investment decision support with accurate company financials
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.
sec-edgar-mcp · Install
Installation
Docker (Recommended)
{
"mcpServers": {
"sec-edgar-mcp": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "SEC_EDGAR_USER_AGENT=Your Name (your@email.com)",
"stefanoamorelli/sec-edgar-mcp:latest"
]
}
}
}Other Methods
Other installation methods (pip, conda, uv) are available in the [documentation](https://sec-edgar-mcp.amorelli.tech/setup/quickstart).
HTTP Transport
For platforms like Dify, use streamable HTTP:
python -m sec_edgar_mcp.server --transport streamable-http --port 9870