Data Nl vs Filesystem

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

Data Nl logoData NlData Platforms · Local subprocess (stdio)Netherlands Open Data (data.overheid.nl/data) CKAN MCP.53GoodAuth: not declaredFilesystem logoFilesystemFile Systems · Local subprocess (stdio)Secure file operations with configurable access controls.85ExcellentAuth: no auth required

Verdict: choose Data Nl 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 Nl logoChoose Data Nl when

  • You need dedicated capabilities in the Data Platforms domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like search_datasets, dataset, query_resource.
Explore Data Nl

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 Nl logoData NlFilesystem logoFilesystem
CategoryData PlatformsFile Systems
Quality signal53/100 · 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 stars191,526
Directory activity 0 views 0 installs 0 upvotes 11 views 0 installs 0 upvotes
Tools317

Tools & capabilities

Data Nl tools 3

  • search_datasetsSearch Netherlands Open Data (Netherlands) for datasets by keyword. Returns each dataset's id/name, title, organization, and its resources (each with a resource_id for query_resource).
  • datasetShow full metadata for one Netherlands Open Data dataset by id or name (from search_datasets), including all resources and their resource_ids.
  • query_resourcePull rows from a tabular Netherlands Open Data resource (CKAN DataStore) by resource_id (from a dataset's resources). Optional full-text q, limit, offset. Note: only resources with the DataStore enabled are queryable.

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 Nl

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

Filesystem

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

Frequently asked questions

Data Nl is categorized under Data Platforms and uses a local stdio subprocess. Filesystem belongs to File Systems and uses a local stdio subprocess. Pick Data Nl 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 Nl 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-nl and filesystem as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Data Nl has a quality signal of 53/100 (Good) with 0 views, 0 installs and 1 GitHub stars. Filesystem has 85/100 (Excellent) with 11 views, 0 installs and 91,526 GitHub stars.