# remio-harness-plugin

> remio-harness-plugin — shakelv-remio-harness-plugin. Use this tool when you need to integrate remio knowledge base tools with MCP-compatible clients, enabling search, read, and management of notes and collections, as well as agent execution. It solves problems of knowledge base accessibility and management by providing a secure interface with safety confirmations for state-changing operations. The remio-harness-plugin takes in client requests and outputs remio tool executions, making it ideal for use cases requiring seamless knowledge base integration.

Canonical page: https://skillsregistry.net/skills/shakelv-remio-harness-plugin  
JSON: https://api.skillsregistry.net/v1/skills/shakelv-remio-harness-plugin

## Description

MCP server that exposes remio knowledge base tools—search, read, RAG, web retrieval, note and collection management, sharing, and agent execution—to MCP-compatible clients. It invokes the local remio CLI directly with safety confirmations for state-changing operations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vc94u7zclt)
- **Repository:** <https://github.com/ShakeLv/remio-harness-plugin>

## 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": "shakelv-remio-harness-plugin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shakelv-remio-harness-plugin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shakelv-remio-harness-plugin/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