openmcp-client

作者 LSTM-Kirigaya已验证

All in one vscode plugin for mcp developer

752
Stars
53
Forks
TypeScript
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/LSTM-Kirigaya/openmcp-client

快速入门

使用 openmcp-client 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

OpenMCP: All you need for MCP Development

English | 中文

🫱 Official Documentation

OpenMCP QQ Group

OpenMCP Discord Channel

OpenMCP

An all-in-one vscode/trae/cursor plugin for MCP server debugging.

IMAGE ALT TEXT HERE

👆 Full Video

openmcpent

Integrated Inspector + MCP client basic functions, combining development and testing into one.

Test mcp tools, prompts and resources with a variety of tools.

Tested tools can be placed in the "Interactive Testing" module for large model interaction testing.

Complete project-level management panel for easier MCP project management at both project and global levels.

Supports multiple large models: DeepSeek, OpenAI, Qwen, Gemini, Grok, Mistral, MiniMax, Groq, Perplexity, Kimi, Ollama, OpenRouter and more.

Support XML mode and customized options for your tool selection.

openmcp-sdk

once everything is tested and verified in openmcpent, you can deploy your mcp as an agent app with openmcp-sdk fastly and easily:

npm install openmcp-sdk

then deploy your agent with just lines of codes

import { OmAgent } from 'openmcp-sdk/service/sdk';

// create Agent
const agent = new OmAgent();
    
// Load configuration, which can be automatically generated after debugging with openmcp client
agent.loadMcpConfig('./mcpconfig.json');

// Read the debugged prompt
const prompt = await agent.getPrompt('hacknews', { topn: '5' });    

// Execute the task
const res = await agent.ainvoke({ messages: prompt });

console.log('⚙️ Agent Response', res);

output

[2025/6/20 20:47:31] 🚀 [crawl4ai-mcp] 1.9.1 connected
[2025/6/20 20:47:35] 🤖 Agent wants to use these tools get_web_markdown
[2025/6/20 20:47:35] 🔧 using tool get_web_markdown
[2025/6/20 20:47:39] ✓  use tools success
[2025/6/20 20:47:46] 🤖 Agent wants to use these tools get_web_markdown, get_web_markdown, get_web_markdown
[2025/6/20 20:47:46] 🔧 using tool get_web_markdown
[2025/6/20 20:47:48] ✓  use tools success
[2025/6/20 20:47:48] 🔧 using tool get_web_markdown
[2025/6/20 20:47:54] ✓  use tools success
[2025/6/20 20:47:54] 🔧 using tool get_web_markdown
[2025/6/20 20:47:57] ✓  use tools success

⚙️ Agent Response
⌨️ Today's Tech Article Roundup

📌 How to Detect or Observe Passing Gravitational Waves?
Summary: This article explores the physics of gravitational waves, explaining their effects on space-time and how humans might perceive or observe this cosmic phenomenon.
Author: ynoxinul
Posted: 2 hours ago
Link: https://physics.stackexchange.com/questions/338912/how-would-a-passing-gravitational-wave-look-or-feel

📌 Learn Makefile Tutorial
Summary: A comprehensive Makefile tutorial for beginners and advanced users, covering basic syntax, variables, automatic rules, and advanced features to help developers manage project builds efficiently.
Author: dsego
Posted: 4 hours ago
Link: https://makefiletutorial.com/

📌 Hurl: Run and Test HTTP Requests in Plain Text
Summary: Hurl is a command-line tool that allows defining and executing HTTP requests in plain text format, ideal for data fetching and HTTP session testing. It supports chained requests, value capture, and response queries, making it perfect for testing REST, SOAP, and GraphQL APIs.
Author: flykespice
Posted: 8 hours ago
Link: https://github.com/Orange-OpenSource/hurl

🔗 Document of openmcp-sdk

Want to become a contributor ?

Click here to learn how to make contribution to OpenMCP.

Join Our Community

TODO

Feature Roadmap

ModuleFeaturePriorityStatusFix Priority
allComplete basic infrastructureFull Version100%Done
renderSupport cost analysis in chat modeIteration100%Done
extSupport basic MCP project managementIteration100%P0
serviceSupport custom OpenAI-compatible large model integrationFull Version100%Done
serviceSupport custom protocol large model integrationMVP0%P1
allSupport debugging multiple MCP Servers simultaneouslyMVP100%P0
allSupport online verification via large modelsIteration100%Done
allSupport saving user's server debugging workIteration100%Done
renderHigh-risk operation permission confirmationMVP0%P1
serviceHot update for connected MCP serversMVP0%P1
allSystem prompt management moduleIteration100%Done
serviceTool-wise logging systemMVP0%P1
serviceMCP security checks (prevent prompt injection, etc.)MVP0%P1
serviceBuilt-in OCR for character recognitionIteration100%Done

Project Concept

OpenMCP adopts a layered modular design. By assembling different modules, it can be implemented in different modes on different platforms.

flowchart TD
    subgraph OpenMCP Core Components
        renderer[Renderer]
        openmcpservice[OpenMCPService]
    end

    subgraph OpenMCP_Web["OpenMCP Web"]
        renderer
        openmcpservice
        nginx[Nginx]
    end

    subgraph OpenMCP_Plugin["OpenMCP Plugin"]
        renderer
        openmcpservice
        vscode[VSCode Plugin Code]
    end

    subgraph OpenMCP_App["OpenMCP App"]
        renderer
        openmcpservice
        electron[Electron Code]
    end

    subgraph QQBot["OpenMCP-based QQ Bot"]
        lagrange[Lagrange.OneBot]
        openmcpservice
    end

    %% Dependencies
    OpenMCP_Web -->|Frontend Rendering| renderer
    OpenMCP_Web -->|Backend Service| openmcpservice
    OpenMCP_Web -->|Reverse Proxy| nginx

    OpenMCP_Plugin -->|UI Interface| renderer
    OpenMCP_Plugin -->|Core Logic| openmcpservice
    OpenMCP_Plugin -->|IDE Integration| vscode

    OpenMCP_App -->|Frontend UI| renderer
    OpenMCP_App -->|Local Service| openmcpservice
    OpenMCP_App -->|Desktop Packaging| electron

    QQBot -->|Protocol Adaptation| lagrange
    QQBot -->|Business Logic| openmcpservice

OpenMCP CLI

Quickly setup and run OpenMCP development environment with a single command:

# Install CLI globally
npm install -g @agent-ruler/openmcp

# Create a new project
openmcp init my-project
cd my-project

# Start development servers (service + renderer)
openmcp dev

CLI Commands

CommandDescription
openmcp init <project-name>Initialize a new OpenMCP project
openmcp devStart development mode (backend + frontend)
openmcp dev --service-onlyStart only the backend service
openmcp dev --renderer-onlyStart only the frontend renderer
openmcp startStart production mode
openmcp updateUpdate to the latest version

📖 Full CLI Documentation

Development

  • renderer : Frontend UI definitions
  • service : Test components for renderer , including a simple forwarding layer
  • src : VSCode plugin definitions

Renderer & Service Development

flowchart LR
D[renderer] <--> A[Dev Server] 
<--ws--> B[service]
B <--mcp--> m(MCP Server)

Project setup:

npm run setup

Start dev server:

npm run serve

Extension Development

flowchart LR
D[renderer] <--> A[extention.ts] <--> B[service]
B <--mcp--> m(MCP Server)

Build for deployment:

npm run build

build vscode extension:

npm run build:plugin

Then just press F5, いただきます (Let's begin)


CI Pipeline

✅ npm run build ✅ npm run build:task-loop ✅ openmcpent UT ✅ openmcp-sdk UT ✅ vscode extension UT

常见问题

What is openmcp-client?

openmcp-client is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by LSTM-Kirigaya. All in one vscode plugin for mcp developer. It has 752 GitHub stars.

Is openmcp-client safe to use?

openmcp-client failed SkillsLLM's automated security scan, which flagged one or more high-severity issues. Review the Security Report section carefully before using it.

How do I install openmcp-client?

Clone the repository with "git clone https://github.com/LSTM-Kirigaya/openmcp-client" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is openmcp-client written in?

openmcp-client is primarily written in TypeScript. It is open-source under LSTM-Kirigaya on GitHub, so you can review or fork the full source.

Are there alternatives to openmcp-client?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh openmcp-client against similar tools.

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