Data Brussels vs Git

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

Data Brussels logoData BrusselsData Platforms · Local subprocess (stdio)Brussels Open Data (opendata.bruxelles.be) — OpenDataSoft MCP.59GoodAuth: not declaredGit logoGitVersion Control · Local subprocess (stdio)Tools to read, search, and manipulate Git repositories.81ExcellentAuth: no auth required

Verdict: choose Data Brussels for data platforms work as a local process; choose Git for version control as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Data Brussels logoChoose Data Brussels 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 Brussels

Git logoChoose Git when

  • You need dedicated capabilities in the Version Control domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
  • You want tools like repo_path, context_lines, target.
Explore Git

Feature & specification comparison

Rows where the two servers differ are marked.

SpecData Brussels logoData BrusselsGit logoGit
CategoryData PlatformsVersion Control
Quality signal59/100 · Good81/100 · 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 stars091,547
Directory activity 1 views 0 installs 0 upvotes 53 views 0 installs 0 upvotes
Tools316

Tools & capabilities

Data Brussels tools 3

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

Git tools 16

  • repo_path
  • context_lines
  • target
  • message
  • MERGE_HEAD
  • HEAD
  • files
  • max_count
  • start_timestamp
  • end_timestamp
  • branch_name
  • base_branch
  • +4 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 Brussels

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

Git

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "git": {
      "command": "uvx",
      "args": [
        "mcp-server-git"
      ]
    }
  }
}

Frequently asked questions

Data Brussels is categorized under Data Platforms and uses a local stdio subprocess. Git belongs to Version Control and uses a local stdio subprocess. Pick Data Brussels for data platforms work and Git for version control.

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 Brussels has no declared pricing — check the project's own site. Git 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-brussels and git as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Data Brussels has a quality signal of 59/100 (Good) with 1 views, 0 installs and 0 GitHub stars. Git has 81/100 (Excellent) with 53 views, 0 installs and 91,547 GitHub stars.