Datagov Ie vs Filesystem
A side-by-side look at the Datagov Ie 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 Datagov Ie 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?
Choose Datagov Ie when
- You need dedicated capabilities in the Data Platforms domain.
- You prefer a local stdio subprocess transport.
- You want tools like
search_datasets, dataset_details, datastore_query.
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 Platforms | File Systems |
| Quality signal | 59/100 · Good | 85/100 · Excellent |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Verified |
| GitHub stars | 0 | 91,546 |
| Directory activity | 1 views 0 installs 0 upvotes | 11 views 0 installs 0 upvotes |
| Tools | 5 | 17 |
| Full listing | View Datagov Ie | View Filesystem |
Tools & capabilities
Datagov Ie tools 5
search_datasetsSearch Ireland's national open-data catalogue (data.gov.ie, CKAN package_search). Returns matching datasets from government departments, state agencies, and local councils, with titles/descriptions and their resources (English).dataset_detailsFull dataset record by id or slug (CKAN package_show), including its resources. Each resource has a download "url" (often PDF/CSV/XLSX) and a "datastore_active" flag; resources with datastore_active=true can be read row-by-row via datastore_query using the resource "id".datastore_queryRead actual table rows from a resource via CKAN datastore_search. Works only for resources with datastore_active=true (get the resource_id from dataset_details).list_organizationsList publishing organizations (government departments, state agencies, county/city councils) on data.gov.ie (CKAN organization_list).list_groupsList thematic groups/categories on data.gov.ie (CKAN group_list).
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.
Datagov Ie
{
"mcpServers": {
"datagov-ie": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-datagov-ie"
]
}
}
}
Filesystem
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem"
]
}
}
}
Frequently asked questions
Datagov Ie is categorized under Data Platforms and uses a local stdio subprocess. Filesystem belongs to File Systems and uses a local stdio subprocess. Pick Datagov Ie 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.
Datagov Ie 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 datagov-ie and filesystem as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Datagov Ie has a quality signal of 59/100 (Good) with 1 views, 0 installs and 0 GitHub stars. Filesystem has 85/100 (Excellent) with 11 views, 0 installs and 91,546 GitHub stars.