TaParcelle, renseignement foncier du Québec vs HouseData — Zillow data

A side-by-side look at the TaParcelle, renseignement foncier du Québec and HouseData — Zillow data MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

T
TaParcelle, renseignement foncier du QuébecReal Estate · Remote HTTP/SSE
Québec land intelligence: municipal decisions, zoning, assessment roll, registry, permits.39FairAuth: oauth 2.0
H
HouseData — Zillow dataReal Estate
Zillow data for agents: listings, records, Zestimate history, market stats. 19 tools, pay per call.38FairAuth: not declared

Verdict: choose TaParcelle, renseignement foncier du Québec for real estate work over a hosted endpoint; choose HouseData — Zillow data for real estate. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

T
Choose TaParcelle, renseignement foncier du Québec when

  • You need dedicated capabilities in the Real Estate domain.
  • You prefer a remote HTTP/SSE transport.
  • Its auth model fits you: OAuth 2.0.
Explore TaParcelle, renseignement foncier du Québec

H
Choose HouseData — Zillow data when

  • You need dedicated capabilities in the Real Estate domain.
Explore HouseData — Zillow data

Feature & specification comparison

Rows where the two servers differ are marked.

Spec
T
TaParcelle, renseignement foncier du Québec
H
HouseData — Zillow data
CategoryReal EstateReal Estate
Quality signal39/100 · Fair38/100 · Fair
Install commandConfirmedNot confirmed yet
TransportRemote HTTP/SSE—
AuthOAuth 2.0Not declared
PricingNot declaredPaid service
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars——
Directory activity 0 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

TaParcelle, renseignement foncier du Québec tools

No tool names declared yet. Check the project README from the listing page.

HouseData — Zillow data 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.

TaParcelle, renseignement foncier du Québec

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "taparcelle-renseignement-foncier-du-qu-bec": {
      "command": "npx",
      "args": [
        "-y",
        "taparcelle-renseignement-foncier-du-qu-bec"
      ]
    }
  }
}

HouseData — Zillow data

No confirmed install command for HouseData — Zillow data yet — follow the setup steps linked from its listing page rather than a guessed package name.

Frequently asked questions

TaParcelle, renseignement foncier du Québec is categorized under Real Estate and uses a remote HTTP/SSE transport. HouseData — Zillow data belongs to Real Estate and uses an install path we have not confirmed yet. Pick TaParcelle, renseignement foncier du Québec for real estate work and HouseData — Zillow data for real estate.

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. HouseData — Zillow data has no confirmed install command yet — follow its own setup instructions.

TaParcelle, renseignement foncier du Québec has no declared pricing — check the project's own site. Auth: oauth 2.0. HouseData — Zillow data is listed as a paid service. 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 taparcelle-renseignement-foncier-du-qu-bec and housedata-zillow-data as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, TaParcelle, renseignement foncier du Québec has a quality signal of 39/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. HouseData — Zillow data has 38/100 (Fair) with 1 views, 0 installs and 0 GitHub stars.