Data Paris vs Data Providence — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Data Paris vs Data Providence
In-depth architectural comparison of the Data Paris 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 Paris
Data Platforms · Remote HTTP/SSE
Quality: 49/100 (Fair) | Auth: No auth required
Data Providence
Data Platforms · Remote HTTP/SSE
Quality: 49/100 (Fair) | Auth: No auth required
Verdict Summary: Choose Data Paris if you need specialized Data Platforms tools running via a hosted cloud SSE transport. Choose Data Providence if your workspace requires Data Platforms integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Data Paris when:
You need dedicated capabilities in the Data Platforms domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Search Paris Open Data for datasets by keyword (city services, mobility, trees, events, urban planning & environment). Returns dataset_ids (pass to query/dataset_info), titles, themes and record counts.
dataset_info
Get metadata for one Paris Open Data dataset (fields/schema, themes, record count) — call before query to learn the column names.
query
Query records from a Paris Open Data dataset with ODSQL. Filter (where), aggregate (group_by/select), sort (order_by), paginate (limit/offset).
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.
query
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 Paris is categorized under Data Platforms and uses a remote streaming HTTP/SSE transport. In contrast, Data Providence belongs to Data Platforms using remote streaming HTTP/SSE transport. Select Data Paris 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".