fast-agent vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
fast-agent by evalstate | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 3,779 | ★ 85,748 |
| 30d uses | — | — |
| Score | 56 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsAI / LLM ToolsProductivity | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
fast-agent · Summary
A comprehensive MCP server framework for building and evaluating AI agents with tool calling support.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
fast-agent · Use cases
- Building AI-powered coding assistants with integrated development tools
- Creating evaluation workflows for LLM performance testing
- Developing multi-agent systems with tool chaining 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
fast-agent · Install
# Using uv package manager
uv tool install fast-agent-mcp
# Start an interactive session
fast-agent go -x
# Run as an MCP server
fast-agent go --transport http --port 8001For Claude Desktop integration, add to claude_desktop_config.json:
{
"mcpServers": {
"fast-agent": {
"command": "uv",
"args": ["run", "fast-agent", "go", "--transport", "stdio"],
"env": {}
}
}
}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.