# streeteasy-mcp

> Use this tool when you need to search and parse NYC rental listings, solving problems like finding available apartments or extracting listing details. It takes location, price, and other filters as inputs and outputs relevant rental listings and their attributes. Ideal for use cases requiring up-to-date NYC rental market data, such as real estate research or apartment hunting.

Canonical page: https://skillsregistry.net/skills/alec2435-streeteasy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alec2435-streeteasy-mcp

## Description

A remote MCP server that wraps the StreetEasy GraphQL API to enable LLM agents to search and parse NYC rental listings.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rs487lix3t)
- **Repository:** <https://github.com/Alec2435/streeteasy-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alec2435-streeteasy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alec2435-streeteasy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alec2435-streeteasy-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt