# reolink-mcp

> reolink-mcp — ed-dryha-reolink-mcp. Use this tool when you need to integrate and control Reolink cameras on a local network without relying on cloud services. It solves problems related to camera monitoring, AI-powered detection, and PTZ control, providing features like snapshots, device state, and deterrence. The tool accepts connections from MCP clients like Claude, outputting camera feeds, device information, and control interfaces.

Canonical page: https://skillsregistry.net/skills/ed-dryha-reolink-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ed-dryha-reolink-mcp

## Description

An MCP server that allows Claude or any MCP client to see and control Reolink cameras on the local network. It provides snapshots, device state, AI detection, PTZ controls, and deterrence features without cloud dependency.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xe9is970vb)
- **Repository:** <https://github.com/ed-dryha/reolink-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": "ed-dryha-reolink-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ed-dryha-reolink-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ed-dryha-reolink-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