mcp_chatbot vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
mcp_chatbot by keli-wen | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 247 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 10 mo ago | this month |
mcp_chatbot · Summary
A Python chatbot implementation compatible with MCP, supporting terminal and Streamlit interfaces with customizable LLM integration.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
mcp_chatbot · Use cases
- Building chatbot applications with MCP tool integration capabilities
- Creating interactive terminal interfaces with LLM and MCP tool support
- Developing web-based chatbots with real-time streaming responses and tool visualization
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
mcp_chatbot · Install
Installation
- Clone the repository:
git clone git@github.com:keli-wen/mcp_chatbot.git
cd mcp_chatbot- Set up virtual environment and install dependencies:
pip install uv
uv venv .venv --python=3.10
source .venv/bin/activate # or .venv\Scripts\activate for Windows
uv pip install -r requirements.txt- Configure environment:
cp .env.example .env
# Edit .env with your API keys and paths- Configure MCP servers in
mcp_servers/servers_config.json
For Claude Desktop, add to claude_desktop_config.json:
{
"mcpServers": {
"mcp_chatbot": {
"command": "python",
"args": ["-m", "mcp_chatbot.server"]
}
}
}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.