UK Property Data vs Hindsight

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

UK Property Data logoUK Property DataReal EstateUK property data — Land Registry comps, EPC, Rightmove, rental yields, stamp duty, Companies House35FairAuth: not declaredHindsight logoHindsightKnowledge & Memory · Local subprocess (stdio)Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory57GoodAuth: api key required

Verdict: choose UK Property Data for real estate work; 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?

UK Property Data logoChoose UK Property Data when

  • You need dedicated capabilities in the Real Estate domain.
Explore UK Property Data

Hindsight logoChoose 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.
Explore Hindsight

Feature & specification comparison

Rows where the two servers differ are marked.

SpecUK Property Data logoUK Property DataHindsight logoHindsight
CategoryReal EstateKnowledge & Memory
Quality signal35/100 · Fair57/100 · Good
Install commandNot confirmed yetConfirmed
Transport—Local subprocess (stdio)
AuthNot declaredAPI key required
PricingNot declaredFree
Required env varsNone listedHINDSIGHT_API_LLM_API_KEYHINDSIGHT_API_LLM_PROVIDERHINDSIGHT_DB_PASSWORD
Verified ownerCommunity listingCommunity listing
GitHub stars1853,323
Directory activity 0 views 0 installs 0 upvotes 14 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

UK Property Data tools

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

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.

UK Property Data

No confirmed install command for UK Property Data yet — follow the setup steps linked from its listing page rather than a guessed package name.

Hindsight

mcpServers (Claude Desktop / Cursor)
{
  "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

UK Property Data is categorized under Real Estate and uses an install path we have not confirmed yet. Hindsight belongs to Knowledge & Memory and uses a local stdio subprocess. Pick UK Property Data for real estate 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. UK Property Data has no confirmed install command yet — follow its own setup instructions.

UK Property Data 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 uk-property-data and vectorize-io-hindsight as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, UK Property Data has a quality signal of 35/100 (Fair) with 0 views, 0 installs and 18 GitHub stars. Hindsight has 57/100 (Good) with 14 views, 0 installs and 53,323 GitHub stars.