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relvectors MCP ServerVerifiedFeatured

@relvectors

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Basic information

Category

AI & Agents

Author

relvectors

Submitted by

linkx

About relvectors MCP Server

RelVectors: your computer's AI engineer. Disk cleanup, speed up PC, overheating control, suspicious process check and remote maintenance for Windows, macOS and Linux. 电脑里的 AI 工程师：清理系统、电脑加速、温度控制、安全体检。

relvectors MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "relvectors": {
      "command": "rv",
      "args": [
        "mcp",
        "--agent",
        "mcp-client"
      ]
    }
  }
}

relvectors MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

Listing RelVectors where agents look for tools

Each site needs the owner's own account; paste the texts below. The links use the current download page; change them if the project moves to the relvectors organization.

Common texts

Name: RelVectors

One line: Your computer's AI engineer: health, disk cleanup, temperature, security and remote maintenance, through MCP and A2A.

Description: RelVectors lives on a computer (Windows, macOS, Linux) and speaks for it. Agents hand it the computer's own work and get real measurements with this machine's history, safe actions (authorization gate, undo, owner approval cards), task records across sessions, and reach to other machines. Works offline with a local model.

Install: download from https://github.com/relvectors/relvectors-releases/releases, run install.sh / install.cmd

MCP command: rv mcp --agent (stdio)

Claude Code: claude mcp add relvectors -- rv mcp --agent claude-code

A2A Agent Card: http://127.0.0.1:47100/.well-known/agent-card.json (local), JSON-RPC message/send at /a2a

Tools: relvectors_status, relvectors_findings, relvectors_tasks, relvectors_task, relvectors_skills, relvectors_actions, relvectors_peers, relvectors_give_task, relvectors_propose, relvectors_report

Categories / tags: system, monitoring, devops, security, productivity, local-first, a2a

Homepage / repository: https://github.com/relvectors/relvectors-releases

Agent guide: https://github.com/relvectors/relvectors-releases/blob/main/AGENTS.md

License: proprietary (free 7-day trial)

Where

Site

How

Smithery (smithery.ai)

Sign in with GitHub → Add server → local (stdio) server; command rv, args mcp --agent smithery

mcp.so

Submit → paste the repository link and the texts above

Glama (glama.ai/mcp/servers)

Add server → repository link (it reads README.md and AGENTS.md)

PulseMCP (pulsemcp.com)

Submit a server → repository link and description

awesome-mcp-servers (GitHub)

Pull request adding one line under "System" / "Monitoring"

a2a agent lists (e.g. awesome-a2a)

Pull request with the Agent Card description

Official MCP Registry (registry.modelcontextprotocol.io)

Needs a package on npm, PyPI, Docker Hub or an MCPB bundle; RelVectors ships as installers, so list it after an MCPB bundle or a package exists

Comments

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