relvectors MCP Server已验证已精选
@relvectors
关于 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 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"relvectors": {
"command": "rv",
"args": [
"mcp",
"--agent",
"mcp-client"
]
}
}
}relvectors MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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
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