HouseData — Zillow data vs TaParcelle, renseignement foncier du Québec

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

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

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

Which MCP server should you choose?

H
Choose HouseData — Zillow data when

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

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

Feature & specification comparison

Rows where the two servers differ are marked.

Spec
H
HouseData — Zillow data
T
TaParcelle, renseignement foncier du Québec
CategoryReal EstateReal Estate
Quality signal38/100 · Fair39/100 · Fair
Install commandNot confirmed yetConfirmed
Transport—Remote HTTP/SSE
AuthNot declaredOAuth 2.0
PricingPaid serviceNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars——
Directory activity 1 views 0 installs 0 upvotes 0 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

HouseData — Zillow data tools

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

TaParcelle, renseignement foncier du Québec 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.

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.

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"
      ]
    }
  }
}

Frequently asked questions

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

HouseData — Zillow data is listed as a paid service. TaParcelle, renseignement foncier du Québec 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 housedata-zillow-data and taparcelle-renseignement-foncier-du-qu-bec as separate keys in the same mcpServers object, and your assistant will call tools from either one.

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