Nyc Property Intel vs Hindsight

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

Nyc Property Intel logoNyc Property IntelReal EstateMCP server giving Claude AI access to 22+ NYC public-record databases for real estate due diligence37FairAuth: 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 Nyc Property Intel 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?

Nyc Property Intel logoChoose Nyc Property Intel when

  • You need dedicated capabilities in the Real Estate domain.
  • You have the keys it needs: DATABASE_URL.
Explore Nyc Property Intel

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.

SpecNyc Property Intel logoNyc Property IntelHindsight logoHindsight
CategoryReal EstateKnowledge & Memory
Quality signal37/100 · Fair57/100 · Good
Install commandNot confirmed yetConfirmed
Transport—Local subprocess (stdio)
AuthNot declaredAPI key required
PricingNot declaredFree
Required env varsDATABASE_URLHINDSIGHT_API_LLM_API_KEYHINDSIGHT_API_LLM_PROVIDERHINDSIGHT_DB_PASSWORD
Verified ownerCommunity listingCommunity listing
GitHub stars753,323
Directory activity 0 views 0 installs 0 upvotes 14 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

Nyc Property Intel 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.

Nyc Property Intel

No confirmed install command for Nyc Property Intel 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

Nyc Property Intel 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 Nyc Property Intel 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. Nyc Property Intel has no confirmed install command yet — follow its own setup instructions.

Nyc Property Intel 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 nyc-property-intel and vectorize-io-hindsight as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Nyc Property Intel has a quality signal of 37/100 (Fair) with 0 views, 0 installs and 7 GitHub stars. Hindsight has 57/100 (Good) with 14 views, 0 installs and 53,323 GitHub stars.