# mcp-remote-static

> Use this tool when you need to securely connect MCP clients to remote servers in marketplace scenarios. It solves authentication problems by utilizing static OAuth 2.0 client authentication with pre-registered client IDs and secrets. It takes client IDs and secrets as inputs and outputs authenticated connections to remote servers, ideal for use cases requiring standardized authorization code flows.

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

## Description

Connects MCP clients to remote servers using static OAuth 2.0 client authentication. It is specifically designed for marketplace scenarios that require pre-registered client IDs and secrets through standard authorization code flows.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lkdfk9vm9n)
- **Repository:** <https://github.com/zekozhang/mcp-remote-static>

## 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": "zekozhang-mcp-remote-static"
    }
  }
}
```

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