What are the system requirements ?
Node.js version 16 or higher and the pnpm package manager are required.
@vurtnec
基本信息
MCP REST Client, can using REST API to integrate every agent, like cursor, vercel AI
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。
MCP REST Client is a Model Context Protocol (MCP) client project that enables advanced interactions with AI models and services through REST-like HTTP endpoints.
Install Node.js (version 16 or higher) and pnpm, clone the repository, run pnpm install, copy mcp_config.json.example to mcp_config.json and modify it, then start the client with pnpm start. All configured servers register automatically. Use the list-tools HTTP API to list tools for a server and the call-tool HTTP API to call a specific tool with JSON arguments.
list-tools/{serverName}call-tool endpoint.cursorrules filemcp_config.json—
Node.js version 16 or higher and the pnpm package manager are required.
Copy `mcp_config.json.example` to `mcp_config.json` and edit it with your server and tool settings.
Send a POST request to the `call-tool` endpoint with a JSON body containing `serverName`, `toolName`, and `args` matching the tool’s input schema.
All tool calls are logged to the `.cursorrules` file, which you must copy and edit for your own needs.
The client uses HTTP (REST) transport, as demonstrated by the `list-tools` and `call-tool` curl examples.

MCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools

Email security and AI discoverability scores for any domain, with the exact DNS record or tag to fix. Five read-only tools, no account or key needed.

Verified distributed compute for humans, applications, and agents. Submit Blender, Octane, and video workloads, route them across qualified GPUs, track asynchronous execution, download finished artifacts, and verify FARP

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation
JiCo for Jira & Confluence: local MCP server for Jira Data Center - redacts personal data before the AI model, holds every write for approval
评论