ollama-mcp-example vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
ollama-mcp-example by kirillsaidov | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 18 | ★ 85,748 |
| 30d uses | — | — |
| Score | 37 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsOther | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 8 mo ago | this month |
ollama-mcp-example · Summary
A beginner-friendly example demonstrating MCP server and client implementation with Ollama.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
ollama-mcp-example · Use cases
- Learning MCP implementation from scratch
- Understanding how MCP servers and clients interact
- Creating reusable, model-agnostic tools for LLM applications
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
ollama-mcp-example · Install
Installation
- Clone the repository:
git clone https://github.com/kirillsaidov/ollama-mcp-example.git
cd ollama-mcp-example- Create a virtual environment and install dependencies:
python3 -m venv venv
./venv/bin/pip install -r requirements.txt- Run the server and client:
# Start MCP server
./venv/bin/python mcp_server.py
# Run MCP client
./venv/bin/python mcp_client.pyFor Claude Desktop integration, add this to your config.json:
{
"mcpServers": {
"ollama-mcp": {
"command": "python",
"args": ["mcp_server.py"],
"env": {
"PYTHONPATH": "."
}
}
}
}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.