ollama-mcp-bridge vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
ollama-mcp-bridge by jonigl | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 86 | ★ 85,748 |
| 30d uses | — | — |
| Score | 47 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsOps & Infra | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 1 mo ago | this month |
ollama-mcp-bridge · Summary
Ollama MCP Bridge provides an API layer that integrates multiple MCP servers with the Ollama API, enabling dynamic AI tool integration for local LLM applications.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
ollama-mcp-bridge · Use cases
- Building powerful local LLM applications with extended tool capabilities
- Creating custom AI agents that can access multiple specialized tools
- Enabling Ollama to use tools from different MCP servers simultaneously
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-bridge · Install
Installation Options
**Quick Start with uvx:**
uvx ollama-mcp-bridge**Install from PyPI:**
pip install --upgrade ollama-mcp-bridge**Run with Docker:**
docker run -p 8000:8000 \
-e OLLAMA_URL=http://host.docker.internal:11434 \
-v "$PWD/mcp-config.json:/mcp-config.json" \
ghcr.io/jonigl/ollama-mcp-bridge:latest**Claude Desktop Configuration:** Add to Claude Desktop config.json:
"mcpServers": {
"ollama-bridge": {
"command": "ollama-mcp-bridge",
"args": []
}
}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.