Dingo vs Filesystem
A side-by-side look at the Dingo and Filesystem MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Dingo for data science tools work as a local process; choose Filesystem for file systems as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Dingo when
- You need dedicated capabilities in the Data Science Tools domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
Choose Filesystem when
- You need dedicated capabilities in the File Systems domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
path, head, tail.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Data Science Tools | File Systems |
| Quality signal | 60/100 · Good | 85/100 · Excellent |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | No auth required |
| Pricing | Free | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Verified |
| GitHub stars | 759 | 91,526 |
| Directory activity | 5 views 0 installs 0 upvotes | 11 views 0 installs 0 upvotes |
| Tools | Not listed | 17 |
| Full listing | View Dingo | View Filesystem |
Tools & capabilities
Dingo tools
No tool names declared yet. Check the project README from the listing page.
Filesystem tools 17
pathheadtailpathscontenteditsoldTextnewTextdryRunsortBysourcedestination- +5 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Dingo
{
"mcpServers": {
"dataeval-dingo": {
"command": "uvx",
"args": [
"dingo-python"
]
}
}
}
Filesystem
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem"
]
}
}
}
Frequently asked questions
Dingo is categorized under Data Science Tools and uses a local stdio subprocess. Filesystem belongs to File Systems and uses a local stdio subprocess. Pick Dingo for data science tools work and Filesystem for file systems.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Dingo is listed as free. Auth: no auth required. Filesystem is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add dataeval-dingo and filesystem as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Dingo has a quality signal of 60/100 (Good) with 5 views, 0 installs and 759 GitHub stars. Filesystem has 85/100 (Excellent) with 11 views, 0 installs and 91,526 GitHub stars.