Coinrule MCP

Name: Coinrule MCP
Author: coinrule-com

제작자: coinrule-com버전 1.0.0i★ –i클라우드에서 실행

레지스트리 이름io.github.coinrule-com/coinrule-mcp

설치

개요

제작자가 쓴 설명(영어 원문)

Trade, monitor portfolios, and build Coinrule strategies by chat.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

사용자 의견i아직 리뷰가 없어요리뷰는 다음 단계에서 계정 기능과 함께 열려요
우리의 기본 점검i1개 중 1개 통과공개된 정보로 점검했으며, 코드는 아직 스캔하지 않았어요
사용 정도i아직 측정 안 함★ –

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

연결 방식: 클라우드에서 실행
전송 방식: Streamable HTTP
카테고리: 채팅 및 이메일

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

기본 점검: 1개 중 1개 통과
제작자의 서버에서 실행돼요. 내가 요청한 내용은 제작자의 서버를 거쳐요.
레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

클라우드에서 실행설치할 것 없음. 인터넷으로 연결돼요

어떤 앱을 쓰세요?

ClaudeClaude CodeCursorVS CodeChatGPT

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:

Settings → Connectors 열기
Add custom connector 누르기
아래 주소를 붙여 넣고 Add 누르기
로그인하라고 하면 제작자의 서비스에 로그인하기

https://cloud.coinrule.com/mcp

터미널에서 이 명령어를 실행하세요

claude mcp add --transport http coinrule https://cloud.coinrule.com/mcp

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "coinrule": {
      "url": "https://cloud.coinrule.com/mcp"
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "coinrule": {
      "type": "http",
      "url": "https://cloud.coinrule.com/mcp"
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:

웹에서 ChatGPT 열기 → Settings → Connectors (Apps)
Create 또는 Add 누르기(일부 요금제는 먼저 Advanced에서 Developer mode를 켜야 해요)
아래 주소를 붙여 넣고 이름을 정한 뒤 저장하기
로그인하라고 하면 제작자의 서비스에 로그인하기

https://cloud.coinrule.com/mcp

메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

✓ 통과
제작자와 저장소 일치
레지스트리 이름이 GitHub 계정 coinrule-com 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
… 아직 점검 안 함
계속 관리되고 있음
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
… 아직 점검 안 함
라이선스 있음
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
… 아직 점검 안 함
엔드포인트 응답
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
… 아직 점검 안 함
OAuth로 로그인
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
… 아직 점검 안 함
도구 설명에 숨겨진 지시 없음
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요

채팅 및 이메일 카테고리의 다른 서버와 비교i

이 카테고리의 다른 서버 1828개 중 0%보다 스타가 많아요
이 카테고리의 다른 서버 1828개 중 19%보다 최근에 레지스트리에 공개됐어요
기본 점검 결과가 이 카테고리의 다른 서버 1828개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Coinrule MCP, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.0)은 4개월 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Vexa, emailmd, MCP WhatsApp Cloud

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Vexa

제작자: Vexa-ai

Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.

클라우드에서 실행★ 2,949Apache-2.02개월 전 업데이트

설치

emailmd

제작자: anypost

Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.

컴퓨터 또는 클라우드★ 1,385MIT32일 전 업데이트

설치

MCP WhatsApp Cloud

제작자: codespar

MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API

내 컴퓨터에서 실행★ 277MIT5개월 전 업데이트

설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

Coinrule MCP: Build AI Trading Agents Through Natural Language

*Last updated July 22, 2026*

AI is changing the way traders interact with financial markets. Instead of relying exclusively on dashboards, configuration panels, charts, and manually constructed automation, traders can increasingly use AI assistants as an intelligent interface between a trading idea and the infrastructure required to analyse, test, automate, and monitor it.

Coinrule MCP https://coinrule.com/mcp/ brings this conversational approach to automated trading.

By connecting a compatible AI assistant such as ChatGPT, Claude, Gemini, Grok, or another MCP-compatible client to a Coinrule account, traders can use natural-language instructions to inspect portfolios, analyse running strategies, explore trading ideas, perform historical backtests, create automated strategies, monitor signals, and manage trading agents.

The objective is not simply to add a chatbot to a trading platform. It is to create a more intelligent layer for interacting with algorithmic trading infrastructure.

Instead of navigating through multiple interfaces to answer questions such as:

Which of my strategies generated the latest signal?

or:

How is my portfolio currently allocated across connected venues?

a trader can ask an AI assistant directly.

More advanced workflows can go further:

Design a momentum strategy for BTC that only enters when the broader trend is positive, include defined risk controls, explain the logic, and backtest the configuration before I consider running it.

The AI assistant interprets the intention behind the request and uses the authorised Coinrule MCP tools required to perform the relevant operations. Coinrule continues to provide the strategy, execution, validation, portfolio, and market-connectivity infrastructure underneath the conversation.

This creates a new model for AI trading: the trader defines the objective, the AI helps translate that objective into structured actions, and Coinrule provides the controlled automation layer through which those actions are executed.

[!WARNING]

A Read + Write connection can launch strategies that trade real funds. Start with Read-only access or paper trading, review every request, and make the venue and capital amount explicit.

Connect in under a minute

Choose a compatible client such as Claude, ChatGPT, Grok, Cursor, or VS Code.
Add this remote MCP server:

   https://cloud.coinrule.com/mcp

Sign in to Coinrule when your client opens the OAuth window.
Choose Read-only or Read + Write, then try:

   Show my Coinrule bots and how each one is doing.

You need a Coinrule Cloud account and an AI client that supports remote MCP connectors with OAuth. Connect an exchange or broker to trade live, or use paper trading without one.

Agent Plugin

This repository is packaged as an Agent Plugins 1.0.0 plugin for compatible clients and directories, including Cursor:

plugin.json contains portable plugin metadata.
mcp.json declares the hosted Coinrule MCP server using the Streamable HTTP transport.
server.json contains the official MCP Registry metadata.

Agent Plugins 1.0.0 intentionally leaves OAuth to the client. When the plugin connects to https://cloud.coinrule.com/mcp, the client discovers Coinrule's OAuth 2.1 endpoints and asks the user to authorize Read-only or Read + Write access.

From Trading Bots to AI Trading Agents

Traditional trading automation usually begins with configuration.

A trader chooses an asset, selects an indicator, defines an entry condition, configures an exit, chooses a position size, and decides where the strategy should run.

This approach can be effective, but it requires the trader to translate an investment or trading thesis into the structure expected by the software.

AI trading introduces a different interaction model.

Instead of beginning with a configuration screen, the process can begin with intent.

For example:

I want to investigate whether short-term weakness in Ethereum creates attractive entries when the longer-term trend remains bullish.

An AI assistant can help break this idea into questions:

How should short-term weakness be measured?
How should the broader trend be defined?
Which timeframe should be used?
What conditions invalidate the setup?
How much capital should be allocated?
How frequently should the strategy be allowed to trade?
What stop-loss or exit logic should apply?
How would the strategy have behaved historically?

The conversation can then move from an abstract idea toward a structured trading strategy.

With Coinrule MCP, the AI assistant can interact with authorised Coinrule functionality during this process. Depending on the permissions granted, that may include reviewing portfolio information, examining existing strategies, creating strategies, running backtests, launching baskets, or managing trading automation.

The important distinction is that the language model is not replacing the trading infrastructure.

The AI assistant acts as the conversational and reasoning interface. Coinrule remains the underlying system responsible for connecting strategies with supported exchanges, brokers, assets, portfolio data, and automation functionality.

What Is Coinrule MCP?

MCP stands for Model Context Protocol.

It is an open protocol designed to allow compatible AI applications to interact with external tools and services.

Coinrule operates an official remote MCP server that allows supported AI assistants to connect to Coinrule Cloud. Once the connection has been authorised, the assistant can use the Coinrule tools available within the permission scope selected by the user.

From the trader's perspective, the interaction remains conversational.

You might ask:

Show me my active Coinrule strategies and summarise their recent activity.

The AI assistant determines which authorised tools are required, requests the information through Coinrule MCP, and then presents the results in a conversational format.

You do not necessarily need to know the names of the underlying tools or understand Coinrule's internal API structure.

This abstraction is one of the most significant aspects of AI-assisted trading.

The trader can concentrate on what they want to understand or accomplish, while the AI assistant handles much of the translation between natural language and structured software operations.

Coinrule MCP is therefore not a separate exchange, broker, trading account, or custody solution. It is another interface through which authorised Coinrule functionality can be accessed.

Strategies created or managed through an AI assistant remain part of the broader Coinrule trading environment rather than existing in a disconnected AI-only system.

How AI Trading Through Coinrule MCP Works

A typical MCP interaction can be understood as a four-layer process.

1. The Trader Defines an Intention

You begin by describing a task in natural language.

For example:

Analyse my current strategies and identify which ones have produced signals during the last 24 hours.

Or:

Help me design a trend-following strategy for BTC using a moving-average filter and a volatility-based risk condition.

The prompt can be simple or highly detailed.

2. The AI Assistant Interprets the Request

The language model analyses the instruction and determines what information or actions may be necessary.

For an account-analysis request, it may need portfolio or strategy information.

For strategy development, it may need to construct and validate a configuration.

For historical analysis, it may need to run or retrieve a backtest.

3. Coinrule MCP Provides Authorised Tools

The assistant can call only the Coinrule functionality permitted by the user's connection.

A Read-only connection is intended for information retrieval and analysis.

A Read + Write connection provides additional capabilities for supported strategy creation and management actions.

4. Coinrule Handles the Underlying Trading Infrastructure

Coinrule remains the operational layer responsible for the relevant strategy, account, portfolio, backtesting, and market-connectivity functionality.

The AI assistant becomes an interface to that infrastructure rather than receiving unrestricted access to the trading environment.

This separation matters.

An AI model may be effective at interpreting objectives and helping users reason about strategies, but trading actions still need structured infrastructure, authentication, permissions, validation, and execution controls.

Coinrule MCP is designed to connect these two layers: AI reasoning and trading automation.

The AI Trading Lifecycle

One of the most useful ways to understand Coinrule MCP is to look at the complete lifecycle of an AI-assisted trading strategy.

Instead of viewing AI trading as a single prompt that immediately produces a trade, a more disciplined workflow can involve multiple stages.

1. Understand the Current Portfolio

Before creating another strategy, an AI assistant can help you understand what is already running.

With appropriate read permissions, you may be able to ask questions about balances, holdings, open positions, strategies, performance, and recent trading activity.

For example:

Summarise my current Coinrule portfolio and identify my largest asset exposures.

Or:

Show my active strategies, their current status, and the most recent signal generated by each one.

This turns the AI assistant into a conversational layer for portfolio intelligence.

Rather than manually moving between individual accounts and strategies, the trader can begin with a broader question and progressively investigate the areas that matter.

A conversation might evolve like this:

Which strategy currently has the largest open exposure?

Then:

What conditions caused that strategy to enter?

Then:

Show me its recent activity.

Then:

Compare its behaviour with my other momentum strategies.

This ability to move from a high-level portfolio question into increasingly detailed analysis is an important characteristic of conversational AI trading.

2. Express the Trading Thesis in Natural Language

Most trading strategies begin as ideas rather than software configurations.

Examples might include:

Buy temporary weakness during a long-term uptrend.
Reduce exposure when market volatility rises significantly.
Accumulate an asset periodically rather than attempting to time every entry.
Follow strong momentum but exit when the trend deteriorates.
Rebalance a portfolio when allocations move outside predefined ranges.

An AI assistant can help convert these ideas into more precise specifications.

For example:

I want to buy significant dips in BTC, but only when the longer-term trend remains positive.

The assistant can help identify the missing variables.

What constitutes a significant dip?

What defines the long-term trend?

How frequently can the strategy enter?

Should the strategy scale into positions?

Where should risk be limited?

When should profits be taken?

The advantage of this approach is that strategy creation can become an iterative conversation rather than a one

앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요

Coinrule MCP

개요

PopNx MCP의 세 기둥

할 수 있는 일

설치

설치하기 전에

할 수 있는 일

기본 점검i

제작자와 저장소 일치

계속 관리되고 있음

라이선스 있음

엔드포인트 응답

OAuth로 로그인

도구 설명에 숨겨진 지시 없음

채팅 및 이메일 카테고리의 다른 서버와 비교i

자주 묻는 질문

대안

Vexa

emailmd

MCP WhatsApp Cloud

제작자의 README

Coinrule MCP: Build AI Trading Agents Through Natural Language

Connect in under a minute

Agent Plugin

From Trading Bots to AI Trading Agents

What Is Coinrule MCP?

How AI Trading Through Coinrule MCP Works

1. The Trader Defines an Intention

2. The AI Assistant Interprets the Request

3. Coinrule MCP Provides Authorised Tools

4. Coinrule Handles the Underlying Trading Infrastructure

The AI Trading Lifecycle

1. Understand the Current Portfolio

2. Express the Trading Thesis in Natural Language