Data Rennes vs Hindsight
A side-by-side look at the Data Rennes and Hindsight MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Data Rennes for data platforms work as a local process; choose Hindsight for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Data Rennes 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.
Choose Hindsight when
- You need dedicated capabilities in the Knowledge & Memory domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
HINDSIGHT_API_LLM_API_KEY, HINDSIGHT_API_LLM_PROVIDER, HINDSIGHT_DB_PASSWORD.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Data Platforms | Knowledge & Memory |
| Quality signal | 57/100 · Good | 57/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | Free |
| Required env vars | None listed | HINDSIGHT_API_LLM_API_KEYHINDSIGHT_API_LLM_PROVIDERHINDSIGHT_DB_PASSWORD |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 53,457 |
| Directory activity | 2 views 0 installs 0 upvotes | 15 views 0 installs 0 upvotes |
| Tools | 3 | Not listed |
| Full listing | View Data Rennes | View Hindsight |
Tools & capabilities
Data Rennes tools 3
search_datasetsSearch 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_infoGet metadata for one Rennes Métropole Open Data dataset (fields/schema, themes, record count) — call before query to learn the column names.queryQuery records from a Rennes Métropole Open Data dataset with ODSQL. Filter (where), aggregate (group_by/select), sort (order_by), paginate (limit/offset).
Hindsight 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 Rennes
{
"mcpServers": {
"data-rennes": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-data-rennes"
]
}
}
}
Hindsight
{
"mcpServers": {
"vectorize-io-hindsight": {
"command": "npx",
"args": [
"-y",
"@vectorize-io/hindsight-coding-agents"
],
"env": {
"HINDSIGHT_API_LLM_API_KEY": "YOUR_HINDSIGHT_API_LLM_API_KEY_HERE",
"HINDSIGHT_API_LLM_PROVIDER": "YOUR_HINDSIGHT_API_LLM_PROVIDER_HERE",
"HINDSIGHT_DB_PASSWORD": "YOUR_HINDSIGHT_DB_PASSWORD_HERE"
}
}
}
}
Frequently asked questions
Data Rennes is categorized under Data Platforms and uses a local stdio subprocess. Hindsight belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Data Rennes for data platforms work and Hindsight for knowledge & memory.
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 Rennes has no declared pricing — check the project's own site. Hindsight is listed as free. Auth: api key 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-rennes and vectorize-io-hindsight as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Data Rennes has a quality signal of 57/100 (Good) with 2 views, 0 installs and 0 GitHub stars. Hindsight has 57/100 (Good) with 15 views, 0 installs and 53,457 GitHub stars.