# Remote-MCP Server

> Use this tool when you need to manage model contexts centrally and securely. It enables type-safe, bidirectional communication with Model Context Protocol services over HTTP, solving problems of model context management and synchronization. Ideal for use cases requiring centralized model management, it takes in model context data as input and outputs managed model contexts.

Canonical page: https://skillsregistry.net/skills/ssut-remote-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ssut-remote-mcp

## Description

Enables type-safe, bidirectional communication with Model Context Protocol services, allowing centralized management of model contexts over HTTP.

## 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:** other
- **Updated:** 2026-05-05

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c60gv0nzsp)
- **Repository:** <https://github.com/ssut/Remote-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": "ssut-remote-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ssut-remote-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ssut-remote-mcp/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