# Binspire Waste Management

> Use this tool when you need to streamline waste management operations by tracking collection activities, monitoring system issues, and maintaining operational history. It connects to PostgreSQL databases, providing standardized tools for managing audits, issues, and records, and enables interaction with trashbin data and organizational workflows. Ideal for building autonomous waste management agents that optimize waste collection and disposal processes.

Canonical page: https://skillsregistry.net/skills/binspire-waste-management  
JSON: https://api.skillsregistry.net/v1/skills/binspire-waste-management

## Description

Connects to waste management systems through a PostgreSQL database. Provides standardized tools for managing audits, issues, and history records within waste management operations. Enables interaction with trashbin data, user collections, and organizational workflows for building autonomous waste management agents that track collection activities, monitor system issues, and maintain operational history.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/binspire-waste-management)
- **Repository:** <https://github.com/binspireai/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": "binspire-waste-management"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/binspire-waste-management` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/binspire-waste-management/pull`

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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
