Data Collection

fphsjypt.com

Fetches public market quotes, listings, and platform information for waste recycling from 智收网.

1 endpoint3 known toolsFirst detected August 22, 2026Last detected August 22, 2026

ENDPOINT 1

https://www.fphsjypt.com/api/v1/mcp

No auth detected

Capabilities

tools

Server instructions

智收网公开数据 MCP:行情查询、货源搜索、平台介绍。全部只读、脱敏。

获取智收网各废品品类的公开行情:近7日私密询盘去高去低均价、涨跌与样本量(样本≥5才公开,危废不列入)。

Inferred read-only

搜索智收网公开货源/求购信息(标题、品类、地区、浏览量;不含联系方式)。listing_type: sell=货品出售, buy=求购。

Inferred read-only

获取智收网平台介绍:私密询盘机制、覆盖品类、收费模式、下载与联系方式。

Inferred read-only

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.zhishouwang-mcp]
url = "https://www.fphsjypt.com/api/v1/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "zhishouwang-mcp": {
      "type": "http",
      "url": "https://www.fphsjypt.com/api/v1/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: zhishouwang-mcp
Remote MCP URL: https://www.fphsjypt.com/api/v1/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "zhishouwang-mcp": {
      "url": "https://www.fphsjypt.com/api/v1/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "zhishouwang-mcp": {
      "type": "http",
      "url": "https://www.fphsjypt.com/api/v1/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "zhishouwang-mcp",
  "transport": "streamable-http",
  "url": "https://www.fphsjypt.com/api/v1/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.