# io.github.cesco345/capital-equipment

> Use this tool when you need to efficiently manage and access scientific research equipment, as it allows you to search, book, and manage equipment across 500+ STEM core facilities, streamlining research operations and reducing logistical hurdles. It solves problems of equipment discovery, booking, and management, providing a centralized interface for researchers to find and utilize necessary tools. Ideal for research institutions and scientists, it simplifies the process of accessing specialized equipment, saving time and increasing productivity.

Canonical page: https://skillsregistry.net/skills/io-github-cesco345-capital-equipment  
JSON: https://api.skillsregistry.net/v1/skills/io-github-cesco345-capital-equipment

## Description

Search, book, and manage scientific research equipment across 500+ STEM core facilities.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.cesco345%2Fcapital-equipment)
- **Repository:** <https://github.com/cesco345/capital-equipment-mcp>

## Use it

MCP endpoint published by the skill: `https://us-central1-capital-equipment-dev.cloudfunctions.net/mcpServer/mcp`

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": "io-github-cesco345-capital-equipment"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-cesco345-capital-equipment` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-cesco345-capital-equipment/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