Data Nantes vs Filesystem

A side-by-side look at the Data Nantes and Filesystem MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Data Nantes logoData NantesData Platforms · Local subprocess (stdio)Nantes Métropole Open Data (data.nantesmetropole.fr) — OpenDataSoft MCP.57GoodAuth: not declaredFilesystem logoFilesystemFile Systems · Local subprocess (stdio)Secure file operations with configurable access controls.85ExcellentAuth: no auth required

Verdict: choose Data Nantes for data platforms 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?

Data Nantes logoChoose Data Nantes when

  • You need dedicated capabilities in the Data Platforms domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like search_datasets, dataset_info, query.
Explore Data Nantes

Filesystem logoChoose 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.
Explore Filesystem

Feature & specification comparison

Rows where the two servers differ are marked.

SpecData Nantes logoData NantesFilesystem logoFilesystem
CategoryData PlatformsFile Systems
Quality signal57/100 · Good85/100 · Excellent
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNot declaredNo auth required
PricingNot declaredFree
Required env varsNone listedNone listed
Verified ownerCommunity listing Verified
GitHub stars091,546
Directory activity 2 views 0 installs 0 upvotes 11 views 0 installs 0 upvotes
Tools317

Tools & capabilities

Data Nantes tools 3

  • search_datasetsSearch Nantes Métropole Open Data for datasets by keyword (mobility, urban services, environment & geography). Returns dataset_ids (pass to query/dataset_info), titles, themes and record counts.
  • dataset_infoGet metadata for one Nantes Métropole Open Data dataset (fields/schema, themes, record count) — call before query to learn the column names.
  • queryQuery records from a Nantes Métropole Open Data dataset with ODSQL. Filter (where), aggregate (group_by/select), sort (order_by), paginate (limit/offset).

Filesystem tools 17

  • path
  • head
  • tail
  • paths
  • content
  • edits
  • oldText
  • newText
  • dryRun
  • sortBy
  • source
  • destination
  • +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.

Data Nantes

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "data-nantes": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-data-nantes"
      ]
    }
  }
}

Filesystem

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem"
      ]
    }
  }
}

Frequently asked questions

Data Nantes is categorized under Data Platforms and uses a local stdio subprocess. Filesystem belongs to File Systems and uses a local stdio subprocess. Pick Data Nantes for data platforms 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.

Data Nantes has no declared pricing — check the project's own site. 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 data-nantes and filesystem as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Data Nantes has a quality signal of 57/100 (Good) with 2 views, 0 installs and 0 GitHub stars. Filesystem has 85/100 (Excellent) with 11 views, 0 installs and 91,546 GitHub stars.