Data Centrevaldeloire vs Jitsu

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

Data Centrevaldeloire logoData CentrevaldeloireData Platforms · Local subprocess (stdio)Centre-Val de Loire Open Data (data.centrevaldeloire.fr) — OpenDataSoft MCP.59GoodAuth: not declaredJitsu logoJitsuData Platforms · Remote HTTP/SSEManage Jitsu data pipelines: destinations, streams, connections, functions, live events.62GoodAuth: oauth 2.0

Verdict: choose Data Centrevaldeloire for data platforms work as a local process; choose Jitsu for data platforms over a hosted endpoint. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Data Centrevaldeloire logoChoose Data Centrevaldeloire 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 Centrevaldeloire

Jitsu logoChoose Jitsu when

  • You need dedicated capabilities in the Data Platforms domain.
  • You prefer a remote HTTP/SSE transport.
  • Its auth model fits you: OAuth 2.0.
Explore Jitsu

Feature & specification comparison

Rows where the two servers differ are marked.

SpecData Centrevaldeloire logoData CentrevaldeloireJitsu logoJitsu
CategoryData PlatformsData Platforms
Quality signal59/100 · Good62/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Remote HTTP/SSE
AuthNot declaredOAuth 2.0
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars05,113
Directory activity 2 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
Tools3Not listed

Tools & capabilities

Data Centrevaldeloire tools 3

  • search_datasetsSearch Centre-Val de Loire Open Data for datasets by keyword (regional services, transport, education & environment). Returns dataset_ids (pass to query/dataset_info), titles, themes and record counts.
  • dataset_infoGet metadata for one Centre-Val de Loire Open Data dataset (fields/schema, themes, record count) — call before query to learn the column names.
  • queryQuery records from a Centre-Val de Loire Open Data dataset with ODSQL. Filter (where), aggregate (group_by/select), sort (order_by), paginate (limit/offset).

Jitsu tools

No tool names declared yet. Check the project README from 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 Centrevaldeloire

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

Jitsu

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "jitsu": {
      "url": "https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=297526&theme=neutral"
    }
  }
}

Frequently asked questions

Data Centrevaldeloire is categorized under Data Platforms and uses a local stdio subprocess. Jitsu belongs to Data Platforms and uses a remote HTTP/SSE transport. Pick Data Centrevaldeloire for data platforms work and Jitsu for data platforms.

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 Centrevaldeloire has no declared pricing — check the project's own site. Jitsu has no declared pricing — check the project's own site. Auth: oauth 2.0. 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-centrevaldeloire and jitsu as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Data Centrevaldeloire has a quality signal of 59/100 (Good) with 2 views, 0 installs and 0 GitHub stars. Jitsu has 62/100 (Good) with 1 views, 0 installs and 5,113 GitHub stars.