Side-by-Side Model Context Protocol Comparison
Data Iledefrance vs Data Rennes
In-depth architectural comparison of the Data Iledefrance and Data Rennes 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 Iledefrance
Developer Tools · Remote HTTP/SSE
Quality: 35/100 (Fair) | Auth: No auth required
Data Rennes
Developer Tools · Remote HTTP/SSE
Quality: 51/100 (Good) | Auth: No auth required
Verdict Summary: Choose Data Iledefrance if you need specialized Developer Tools tools running via a hosted cloud SSE transport. Choose Data Rennes if your workspace requires Developer Tools 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 Iledefrance when:
- You need dedicated capabilities in the Developer Tools domain.
- You prefer remote streaming HTTP/SSE transport architecture.
- Your security boundary fits: No auth required (Free / Open Source).
D
Choose Data Rennes when:
- You need dedicated capabilities in the Developer Tools domain.
- You prefer remote streaming HTTP/SSE transport architecture.
- Your security boundary fits: No auth required (Free / Open Source).
- Primary tools included: search_datasets, dataset_info, query.
Feature & Specification Comparison
Tools & Capabilities Breakdown
Data Iledefrance Tools (0)
No explicit tool names declared in metadata yet. Check project README on main listing page.
Data Rennes Tools (3)
search_datasets
Search Rennes Métropole Open Data for datasets by keyword (mobility, urban services, environment & geography). Returns dataset_ids (pass to query/dataset_info), titles, themes and record counts.
dataset_info
Get metadata for one Rennes Métropole Open Data dataset (fields/schema, themes, record count) — call before query to learn the column names.
query
Query records from a Rennes Métropole Open Data dataset with ODSQL. Filter (where), aggregate (group_by/select), sort (order_by), paginate (limit/offset).
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 Iledefrance Configuration
Data Rennes Configuration