Data Pa vs Git

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

Data Pa logoData PaData Platforms · Local subprocess (stdio)Pennsylvania Open Data (data.pa.gov) Socrata MCP.57GoodAuth: not declaredGit logoGitVersion Control · Local subprocess (stdio)Tools to read, search, and manipulate Git repositories.81ExcellentAuth: no auth required

Verdict: choose Data Pa 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 Pa logoChoose Data Pa when

  • You need dedicated capabilities in the Data Platforms domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like datasets, query, metadata.
Explore Data Pa

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 Pa logoData PaGit logoGit
CategoryData PlatformsVersion Control
Quality signal57/100 · 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 52 views 0 installs 0 upvotes
Tools316

Tools & capabilities

Data Pa tools 3

  • datasetsSearch the Pennsylvania Open Data catalog of open datasets by keyword. Returns each dataset's resource_id, name, description, category and update date — pass the resource_id to query/metadata.
  • queryRun a Socrata SoQL query against a Pennsylvania Open Data dataset by resource_id (e.g. "mcba-yywm"). Filter with where/select/group/order (SoQL clauses, without the leading $) plus limit/offset. Returns matching rows as JSON.
  • metadataGet a Pennsylvania Open Data dataset's schema + metadata (columns, types, row count, category, last-updated) by resource_id, e.g. "mcba-yywm".

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 Pa

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

Git

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

Frequently asked questions

Data Pa is categorized under Data Platforms and uses a local stdio subprocess. Git belongs to Version Control and uses a local stdio subprocess. Pick Data Pa 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 Pa 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-pa and git as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Data Pa has a quality signal of 57/100 (Good) with 1 views, 0 installs and 0 GitHub stars. Git has 81/100 (Excellent) with 52 views, 0 installs and 91,547 GitHub stars.