# localhostmcp

> Use this tool when you need to integrate Large Language Models (LLMs) with local development servers, enabling them to send HTTP requests to APIs running on localhost, and receive responses to facilitate testing and development. It solves problems of isolated development environments and limited API accessibility. This tool accepts LLM inputs and outputs HTTP responses, ideal for use cases requiring local API testing and interaction.

Canonical page: https://skillsregistry.net/skills/alvii147-localhostmcp  
JSON: https://api.skillsregistry.net/v1/skills/alvii147-localhostmcp

## Description

Enables LLMs to send HTTP requests to a local development server, allowing interaction with APIs running on localhost.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ltlgy849hz)
- **Repository:** <https://github.com/alvii147/localhostmcp>

## 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": "alvii147-localhostmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alvii147-localhostmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alvii147-localhostmcp/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