Data Ny vs Data Providence — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Data Ny vs Data Providence
In-depth architectural comparison of the Data Ny and Data Providence MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Data Ny
Data Platforms · Local stdio
Quality: 41/100 (Fair) | Auth: No auth required
Data Providence
Data Platforms · Local stdio
Quality: 52/100 (Good) | Auth: No auth required
Verdict Summary: Choose Data Ny if you need specialized Data Platforms tools running via a local process. Choose Data Providence if your workspace requires Data Platforms integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Data Ny when:
You need dedicated capabilities in the Data Platforms domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Optional plain-language routing through ask_pipeworx
Data Providence Tools (3)
datasets
Search the Providence 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.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Data Ny is categorized under Data Platforms and uses a local stdio subprocess. In contrast, Data Providence belongs to Data Platforms using local stdio subprocess. Select Data Ny when you need capabilities focused on data platforms and Data Providence when you require tools for data platforms.
Run a Socrata SoQL query against a Providence Open Data dataset by resource_id (e.g. "vank-fyx9"). Filter with where/select/group/order (SoQL clauses, without the leading $) plus limit/offset. Returns matching rows as JSON.
metadata
Get a Providence Open Data dataset's schema + metadata (columns, types, row count, category, last-updated) by resource_id, e.g. "vank-fyx9".