# Remote Bridge

> Use this tool when you need to access and interact with MCP functionality remotely over HTTP, solving integration and scalability issues in distributed environments. It provides a lightweight API bridge with a web interface, allowing clients to utilize MCP tools without requiring direct library integration. Ideal for deployments requiring easy scaling and minimal footprint, such as containerized applications.

Canonical page: https://skillsregistry.net/skills/dhso-remote-bridge  
JSON: https://api.skillsregistry.net/v1/skills/dhso-remote-bridge

## Description

Remote-MCP provides a lightweight API bridge for accessing MCP functionality over HTTP, built with Python 3.10 and Starlette. Developed by dhso, this implementation containerizes MCP services in a minimal Alpine-based Docker image, making it easy to deploy and scale in distributed environments. The server exposes MCP capabilities through a web interface, allowing clients to interact with MCP tools remotely without requiring direct library integration in their applications.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dhso-remote-bridge)
- **Repository:** <https://github.com/dhso/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": "dhso-remote-bridge"
    }
  }
}
```

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