# Hosted MCP

> Use this tool when you need to integrate large language models (LLMs) with external data and tools to enhance their capabilities. It solves problems such as limited domain knowledge and lack of access to external resources, enabling more accurate and informative responses. With git integration, it accepts external data and code as inputs and produces extended LLM capabilities as outputs.

Canonical page: https://skillsregistry.net/skills/opportunity-co-hostedmcp  
JSON: https://api.skillsregistry.net/v1/skills/opportunity-co-hostedmcp

## Description

Integrate and extend LLM capabilities with external data and tools.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/opportunity-co/hostedmcp)

## 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": "opportunity-co-hostedmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/opportunity-co-hostedmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/opportunity-co-hostedmcp/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