opennews-mcp-news-aggregation

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OpenNews MCP News Aggregation

OpenNews MCP 新闻聚合

Skill by ara.so — MCP Skills collection.

OpenNews MCP is a Model Context Protocol server providing real-time access to 84+ crypto and financial news sources across 6 categories (News, Listing, OnChain, Meme, Market, Prediction). Every article includes AI-powered impact scores (0-100), trading signals (long/short/neutral), and bilingual summaries.

由ara.so开发的Skill — 属于MCP Skills合集。

OpenNews MCP是一个Model Context Protocol服务器，提供对84+加密货币和金融新闻数据源的实时访问，涵盖6大类别（新闻、上线公告、链上、迷因、市场、预测）。每篇文章都包含AI生成的影响评分（0-100）、交易信号（做多/做空/中性）以及双语摘要。

Installation

安装

Prerequisites

前置条件

Get your API token from https://6551.io/mcp
Set the token as an environment variable:

bash

export OPENNEWS_TOKEN="your-token-here"

从https://6551.io/mcp获取你的API token
将token设置为环境变量：

bash

export OPENNEWS_TOKEN="your-token-here"

Claude Desktop

Add to

claude_desktop_config.json

json

{
  "mcpServers": {
    "opennews": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/opennews-mcp",
        "run",
        "opennews-mcp"
      ],
      "env": {
        "OPENNEWS_TOKEN": "your-token-here"
      }
    }
  }
}

添加到

claude_desktop_config.json

：

json

{
  "mcpServers": {
    "opennews": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/opennews-mcp",
        "run",
        "opennews-mcp"
      ],
      "env": {
        "OPENNEWS_TOKEN": "your-token-here"
      }
    }
  }
}

Using

claude mcp add

使用

claude mcp add

bash

claude mcp add opennews \
  -e OPENNEWS_TOKEN=your-token-here \
  -- uv --directory /path/to/opennews-mcp run opennews-mcp

bash

claude mcp add opennews \
  -e OPENNEWS_TOKEN=your-token-here \
  -- uv --directory /path/to/opennews-mcp run opennews-mcp

OpenClaw

bash

export OPENNEWS_TOKEN="your-token-here"
cp -r openclaw-skill/opennews ~/.openclaw/skills/

bash

export OPENNEWS_TOKEN="your-token-here"
cp -r openclaw-skill/opennews ~/.openclaw/skills/

Configuration

配置

The server supports both environment variables and a

config.json

file in the project root. Environment variables take precedence.

服务器同时支持环境变量和项目根目录下的

config.json

文件，环境变量优先级更高。

Environment Variables

环境变量

Variable	Required	Default	Description
`OPENNEWS_TOKEN`	Yes	-	API Bearer Token from 6551.io
`OPENNEWS_API_BASE`	No	`https://ai.6551.io`	REST API base URL
`OPENNEWS_WSS_URL`	No	`wss://ai.6551.io/open/news_wss`	WebSocket URL
`OPENNEWS_MAX_ROWS`	No	`100`	Max results per request

变量	是否必填	默认值	描述
`OPENNEWS_TOKEN`	是	-	来自6551.io的API Bearer Token
`OPENNEWS_API_BASE`	否	`https://ai.6551.io`	REST API基础URL
`OPENNEWS_WSS_URL`	否	`wss://ai.6551.io/open/news_wss`	WebSocket URL
`OPENNEWS_MAX_ROWS`	否	`100`	每次请求的最大结果数

config.json

json

{
  "api_base_url": "https://ai.6551.io",
  "wss_url": "wss://ai.6551.io/open/news_wss",
  "api_token": "your-token-here",
  "max_rows": 100
}

json

{
  "api_base_url": "https://ai.6551.io",
  "wss_url": "wss://ai.6551.io/open/news_wss",
  "api_token": "your-token-here",
  "max_rows": 100
}

Data Sources Overview

数据源概述

The platform aggregates 84+ sources across 6 engine types:

news (53 sources): Bloomberg, Reuters, Financial Times, CNBC, CoinDesk, Cointelegraph, The Block, Twitter/X, Telegram, and more
listing (9 sources): Binance, Coinbase, OKX, Bybit, Upbit, Robinhood, Hyperliquid listings
onchain (3 sources): Hyperliquid whale trades, large positions, KOL trades
meme (1 source): Twitter meme coin sentiment
market (6 sources): Price changes, funding rates, liquidations, OI changes
prediction (12 sources): AI correlation, smart money, whale positions, insider patterns

平台整合了84+数据源，分为6种引擎类型：

news（53个数据源）：Bloomberg、Reuters、Financial Times、CNBC、CoinDesk、Cointelegraph、The Block、Twitter/X、Telegram等
listing（9个数据源）：Binance、Coinbase、OKX、Bybit、Upbit、Robinhood、Hyperliquid上线公告
onchain（3个数据源）：Hyperliquid大额交易、大额持仓、KOL交易
meme（1个数据源）：Twitter迷因币情绪
market（6个数据源）：价格变动、资金费率、清算情况、持仓量变化
prediction（12个数据源）：AI相关性分析、聪明资金动向、大额持仓、内幕模式

Available Tools

可用工具

Discovery Tools

发现类工具

get_news_sources

get_news_sources

Retrieves the complete engine tree with all categories and sources.

python

undefined

获取包含所有类别和数据源的完整引擎树。

python

undefined

Returns hierarchical structure of all 6 engine types and their sources

返回所有6种引擎类型及其数据源的层级结构

Each source includes metadata like description and type

每个数据源包含描述和类型等元数据


**Response structure:**
```json
{
  "news": {
    "Bloomberg": {"description": "Bloomberg — top-tier financial news"},
    "CoinDesk": {"description": "CoinDesk — leading crypto media"}
  },
  "listing": {
    "Binance": {"description": "Binance new token listings"}
  },
  "onchain": {
    "Hyperliquid Whale Trade": {"description": "Hyperliquid whale trade alerts"}
  }
}


**响应结构：**
```json
{
  "news": {
    "Bloomberg": {"description": "Bloomberg — top-tier financial news"},
    "CoinDesk": {"description": "CoinDesk — leading crypto media"}
  },
  "listing": {
    "Binance": {"description": "Binance new token listings"}
  },
  "onchain": {
    "Hyperliquid Whale Trade": {"description": "Hyperliquid whale trade alerts"}
  }
}

list_news_types

list_news_types

Returns a flat list of all available source codes for filtering.

python

undefined

返回所有可用数据源编码的扁平列表，用于过滤。

python

undefined

Returns array of all source codes across all engine types

返回所有引擎类型下的数据源编码数组

Use these codes in other tool filters

在其他工具的过滤条件中使用这些编码


**Response:**
```json
["Bloomberg", "Reuters", "CoinDesk", "Binance", "Hyperliquid Whale Trade", ...]


**响应：**
```json
["Bloomberg", "Reuters", "CoinDesk", "Binance", "Hyperliquid Whale Trade", ...]

Search Tools

搜索类工具

get_latest_news

get_latest_news

Fetch the most recent articles across all sources.

Parameters:

```
limit
```
(optional, default: 20): Number of articles to return

python

undefined

获取所有数据源中的最新文章。

参数：

```
limit
```
（可选，默认值：20）：返回的文章数量

python

undefined

Get latest 50 articles

获取最新50篇文章

{"limit": 50}

undefined

{"limit": 50}

undefined

search_news

search_news

Full-text keyword search across all sources.

Parameters:

```
keywords
```
(required): Search query string
```
limit
```
(optional, default: 20): Number of results

python

undefined

在所有数据源中进行全文关键词搜索。

参数：

```
keywords
```
（必填）：搜索查询字符串
```
limit
```
（可选，默认值：20）：结果数量

python

undefined

Search for SEC-related news

搜索与SEC相关的新闻

{"keywords": "SEC regulation", "limit": 30}

undefined

{"keywords": "SEC regulation", "limit": 30}

undefined

search_news_by_coin

search_news_by_coin

Filter articles by specific cryptocurrencies.

Parameters:

```
coins
```
(required): Array of coin symbols (e.g.,
```
["BTC", "ETH"]
```
)
```
limit
```
(optional, default: 20): Number of results

python

undefined

按特定加密货币筛选文章。

参数：

```
coins
```
（必填）：加密货币符号数组（例如：
```
["BTC", "ETH"]
```
）
```
limit
```
（可选，默认值：20）：结果数量

python

undefined

Get Bitcoin and Ethereum news

获取比特币和以太坊相关新闻

{"coins": ["BTC", "ETH"], "limit": 40}

undefined

{"coins": ["BTC", "ETH"], "limit": 40}

undefined

get_news_by_source

get_news_by_source

Filter by specific source within an engine type.

Parameters:

engine_type

(required): Engine category (

news

listing

onchain

meme

market

prediction

)

```
news_type
```
(required): Specific source code (e.g.,
```
Bloomberg
```
,
```
Binance
```
)
```
limit
```
(optional, default: 20): Number of results

python

undefined

按引擎类型下的特定数据源筛选。

参数：

engine_type

（必填）：引擎类别（

news

listing

onchain

meme

market

prediction

）

```
news_type
```
（必填）：特定数据源编码（例如：
```
Bloomberg
```
,
```
Binance
```
）
```
limit
```
（可选，默认值：20）：结果数量

python

undefined

Get Bloomberg news only

仅获取Bloomberg新闻

{"engine_type": "news", "news_type": "Bloomberg", "limit": 25}

Get Binance listings

获取Binance上线公告

{"engine_type": "listing", "news_type": "Binance", "limit": 10}

undefined

{"engine_type": "listing", "news_type": "Binance", "limit": 10}

undefined

get_news_by_engine

get_news_by_engine

Filter articles by engine category.

Parameters:

```
engine_type
```
(required): Engine category
```
limit
```
(optional, default: 20): Number of results

python

undefined

按引擎类别筛选文章。

参数：

```
engine_type
```
（必填）：引擎类别
```
limit
```
（可选，默认值：20）：结果数量

python

undefined

Get all on-chain events

获取所有链上事件

{"engine_type": "onchain", "limit": 30}

Get all prediction signals

获取所有预测信号

{"engine_type": "prediction", "limit": 50}

undefined

{"engine_type": "prediction", "limit": 50}

undefined

search_news_advanced

search_news_advanced

Multi-filter search combining coins, keywords, and engine types.

Parameters:

```
coins
```
(optional): Array of coin symbols
```
keywords
```
(optional): Search query
```
engine_types
```
(optional): Array of engine categories
```
limit
```
(optional, default: 20): Number of results

python

undefined

结合加密货币、关键词和引擎类型的多条件搜索。

参数：

```
coins
```
（可选）：加密货币符号数组
```
keywords
```
（可选）：搜索查询
```
engine_types
```
（可选）：引擎类别数组
```
limit
```
（可选，默认值：20）：结果数量

python

undefined

Bitcoin news from Bloomberg and CoinDesk mentioning "ETF"

来自Bloomberg和CoinDesk的、提及"ETF"的比特币新闻

{ "coins": ["BTC"], "keywords": "ETF", "engine_types": ["news"], "limit": 30 }

Whale activity for SOL and ETH

SOL和ETH的大额交易活动

{ "coins": ["SOL", "ETH"], "engine_types": ["onchain"], "limit": 20 }

undefined

{ "coins": ["SOL", "ETH"], "engine_types": ["onchain"], "limit": 20 }

undefined

AI-Powered Tools

AI驱动工具

get_high_score_news

get_high_score_news

Retrieve articles with high AI impact scores.

Parameters:

```
min_score
```
(optional, default: 80): Minimum impact score (0-100)
```
limit
```
(optional, default: 20): Number of results

python

undefined

获取AI影响评分较高的文章。

参数：

```
min_score
```
（可选，默认值：80）：最低影响评分（0-100）
```
limit
```
（可选，默认值：20）：结果数量

python

undefined

Get articles with score >= 90

获取评分≥90的文章

{"min_score": 90, "limit": 15}

Get articles with score >= 70

获取评分≥70的文章

{"min_score": 70, "limit": 30}

undefined

{"min_score": 70, "limit": 30}

undefined

get_news_by_signal

get_news_by_signal

Filter by AI-generated trading signals.

Parameters:

```
signal
```
(required): Trading signal type (
```
long
```
,
```
short
```
,
```
neutral
```
)
```
limit
```
(optional, default: 20): Number of results

python

undefined

按AI生成的交易信号筛选。

参数：

```
signal
```
（必填）：交易信号类型（
```
long
```
,
```
short
```
,
```
neutral
```
）
```
limit
```
（可选，默认值：20）：结果数量

python

undefined

Get bullish signals

获取看涨信号

{"signal": "long", "limit": 25}

Get bearish signals

获取看跌信号

{"signal": "short", "limit": 25}

Get neutral signals

获取中性信号

{"signal": "neutral", "limit": 20}

undefined

{"signal": "neutral", "limit": 20}

undefined

Real-Time Tools

实时工具

subscribe_latest_news

subscribe_latest_news

Subscribe to WebSocket live feed with optional filters.

Parameters:

```
engine_types
```
(optional): Object mapping engine types to source codes
- Key: Engine type (
```
news
```
  ,
```
listing
```
  ,
```
onchain
```
  , etc.)
- Value: Array of source codes (empty array = all sources in that engine)
```
coins
```
(optional): Array of coin symbols
```
has_coin
```
(optional, boolean): Only articles tagged with coins

python

undefined

订阅WebSocket实时推送，支持可选过滤条件。

参数：

```
engine_types
```
（可选）：引擎类型与数据源编码的映射对象
- 键：引擎类型（
```
news
```
  ,
```
listing
```
  ,
```
onchain
```
  等）
- 值：数据源编码数组（空数组=该引擎下所有数据源）
```
coins
```
（可选）：加密货币符号数组
```
has_coin
```
（可选，布尔值）：仅返回标记有加密货币的文章

python

undefined

Subscribe to Bloomberg and CoinDesk for BTC and ETH

订阅Bloomberg和CoinDesk的BTC和ETH相关新闻

{ "engine_types": { "news": ["Bloomberg", "CoinDesk"] }, "coins": ["BTC", "ETH"], "has_coin": True }

Subscribe to all listing announcements

订阅所有上线公告

{ "engine_types": { "listing": [] } }

Subscribe to whale on-chain activity

订阅链上大额交易活动

{ "engine_types": { "onchain": [] } }


**WebSocket message format (incoming):**
```json
{
  "jsonrpc": "2.0",
  "method": "news.update",
  "params": {
    "id": "article-id",
    "title": "Article title",
    "content": "Full article text",
    "engine_type": "news",
    "news_type": "Bloomberg",
    "coins": ["BTC"],
    "ai_score": 85,
    "ai_signal": "long",
    "summary_en": "English summary",
    "summary_zh": "中文摘要",
    "published_at": "2026-05-16T12:00:00Z"
  }
}

{ "engine_types": { "onchain": [] } }


**WebSocket消息格式（传入）：**
```json
{
  "jsonrpc": "2.0",
  "method": "news.update",
  "params": {
    "id": "article-id",
    "title": "Article title",
    "content": "Full article text",
    "engine_type": "news",
    "news_type": "Bloomberg",
    "coins": ["BTC"],
    "ai_score": 85,
    "ai_signal": "long",
    "summary_en": "English summary",
    "summary_zh": "中文摘要",
    "published_at": "2026-05-16T12:00:00Z"
  }
}

Response Data Structure

响应数据结构

All news articles follow this structure:

json

{
  "id": "unique-article-id",
  "title": "Article headline",
  "content": "Full article text content",
  "engine_type": "news",
  "news_type": "Bloomberg",
  "coins": ["BTC", "ETH"],
  "ai_score": 85,
  "ai_signal": "long",
  "summary_en": "English AI-generated summary",
  "summary_zh": "中文AI生成摘要",
  "published_at": "2026-05-16T10:30:00Z",
  "url": "https://original-source.com/article",
  "metadata": {
    "author": "Jane Doe",
    "tags": ["regulation", "ETF"]
  }
}

Key fields:

```
ai_score
```
(0-100): AI impact score, higher = more market-moving
```
ai_signal
```
: Trading direction (
```
long
```
,
```
short
```
,
```
neutral
```
)
```
coins
```
: Array of related cryptocurrency symbols
```
engine_type
```
: Category (news, listing, onchain, meme, market, prediction)
```
news_type
```
: Specific source code

所有新闻文章均遵循以下结构：

json

{
  "id": "unique-article-id",
  "title": "Article headline",
  "content": "Full article text content",
  "engine_type": "news",
  "news_type": "Bloomberg",
  "coins": ["BTC", "ETH"],
  "ai_score": 85,
  "ai_signal": "long",
  "summary_en": "English AI-generated summary",
  "summary_zh": "中文AI生成摘要",
  "published_at": "2026-05-16T10:30:00Z",
  "url": "https://original-source.com/article",
  "metadata": {
    "author": "Jane Doe",
    "tags": ["regulation", "ETF"]
  }
}

核心字段：

```
ai_score
```
（0-100）：AI影响评分，分数越高对市场影响越大
```
ai_signal
```
：交易方向（
```
long
```
,
```
short
```
,
```
neutral
```
）
```
coins
```
：相关加密货币符号数组
```
engine_type
```
：类别（news, listing, onchain, meme, market, prediction）
```
news_type
```
：特定数据源编码

Common Usage Patterns

常见使用模式

Pattern 1: Monitor High-Impact News

模式1：监控高影响新闻

python

undefined

python

undefined

Get latest high-impact news (score >= 80)

获取最新高影响新闻（评分≥80）

result = get_high_score_news(min_score=80, limit=10)

Filter for bullish signals only

仅筛选看涨信号

bullish = get_news_by_signal(signal="long", limit=15)

Combine: high-impact bullish Bitcoin news

组合筛选：高影响看涨比特币新闻

advanced = search_news_advanced( coins=["BTC"], engine_types=["news", "prediction"], limit=20 )

Then filter results where ai_score >= 80 and ai_signal == "long"

之后筛选出ai_score≥80且ai_signal=="long"的结果

undefined

undefined

Pattern 2: Track Specific Assets

模式2：追踪特定资产

python

undefined

python

undefined

Get all Solana-related news

获取所有Solana相关新闻

sol_news = search_news_by_coin(coins=["SOL"], limit=30)

Get Solana on-chain whale activity

获取Solana链上大额交易活动

sol_onchain = search_news_advanced( coins=["SOL"], engine_types=["onchain"], limit=15 )

Get Solana listings across all exchanges

获取所有交易所的Solana上线公告

sol_listings = search_news_advanced( coins=["SOL"], engine_types=["listing"], limit=10 )

undefined

sol_listings = search_news_advanced( coins=["SOL"], engine_types=["listing"], limit=10 )

undefined

Pattern 3: Source-Specific Monitoring

模式3：特定数据源监控

python

undefined

python

undefined

Get all Bloomberg articles

获取所有Bloomberg文章

bloomberg = get_news_by_source( engine_type="news", news_type="Bloomberg", limit=25 )

Get Binance listing announcements

获取Binance上线公告

binance_listings = get_news_by_source( engine_type="listing", news_type="Binance", limit=10 )

Get Hyperliquid whale trades

获取Hyperliquid大额交易

whale_trades = get_news_by_source( engine_type="onchain", news_type="Hyperliquid Whale Trade", limit=20 )

undefined

whale_trades = get_news_by_source( engine_type="onchain", news_type="Hyperliquid Whale Trade", limit=20 )

undefined

Pattern 4: Real-Time Alerts

模式4：实时警报

python

undefined

python

undefined

Subscribe to critical sources for BTC and ETH

订阅BTC和ETH的关键数据源

subscribe_latest_news( engine_types={ "news": ["Bloomberg", "Reuters", "Financial Times"], "listing": ["Binance", "Coinbase"], "onchain": [] # All on-chain sources }, coins=["BTC", "ETH"], has_coin=True )

subscribe_latest_news( engine_types={ "news": ["Bloomberg", "Reuters", "Financial Times"], "listing": ["Binance", "Coinbase"], "onchain": [] # 所有链上数据源 }, coins=["BTC", "ETH"], has_coin=True )

Subscribe to all prediction signals

订阅所有预测信号

subscribe_latest_news( engine_types={ "prediction": [] } )

undefined

subscribe_latest_news( engine_types={ "prediction": [] } )

undefined

Pattern 5: Thematic Research

模式5：主题研究

python

undefined

python

undefined

Research regulation topics

研究监管相关话题

regulation_news = search_news( keywords="SEC regulation compliance", limit=40 )

ETF-related news with high impact

高影响ETF相关新闻

etf_news = search_news(keywords="ETF", limit=30)

Filter for ai_score >= 75

筛选出ai_score≥75的结果

Institutional adoption signals

机构采用信号

institutional = search_news( keywords="institutional adoption grayscale blackrock", limit=25 )

undefined

institutional = search_news( keywords="institutional adoption grayscale blackrock", limit=25 )

undefined

WebSocket Direct Usage

WebSocket直接使用

For applications needing direct WebSocket access:

python

import json
import websockets
import asyncio
import os

async def subscribe_news():
    token = os.getenv("OPENNEWS_TOKEN")
    url = f"wss://ai.6551.io/open/news_wss?token={token}"
    
    async with websockets.connect(url) as ws:
        # Subscribe to specific filters
        subscribe_msg = {
            "jsonrpc": "2.0",
            "id": 1,
            "method": "news.subscribe",
            "params": {
                "engineTypes": {
                    "news": ["Bloomberg", "CoinDesk"],
                    "listing": []
                },
                "coins": ["BTC", "ETH"],
                "hasCoin": True
            }
        }
        
        await ws.send(json.dumps(subscribe_msg))
        
        # Receive confirmation
        response = await ws.recv()
        print(f"Subscription confirmed: {response}")
        
        # Listen for updates
        async for message in ws:
            data = json.loads(message)
            if data.get("method") == "news.update":
                article = data["params"]
                print(f"New article: {article['title']}")
                print(f"AI Score: {article['ai_score']}")
                print(f"Signal: {article['ai_signal']}")

对于需要直接访问WebSocket的应用：

python

import json
import websockets
import asyncio
import os

async def subscribe_news():
    token = os.getenv("OPENNEWS_TOKEN")
    url = f"wss://ai.6551.io/open/news_wss?token={token}"
    
    async with websockets.connect(url) as ws:
        # 订阅特定筛选条件
        subscribe_msg = {
            "jsonrpc": "2.0",
            "id": 1,
            "method": "news.subscribe",
            "params": {
                "engineTypes": {
                    "news": ["Bloomberg", "CoinDesk"],
                    "listing": []
                },
                "coins": ["BTC", "ETH"],
                "hasCoin": True
            }
        }
        
        await ws.send(json.dumps(subscribe_msg))
        
        # 接收确认信息
        response = await ws.recv()
        print(f"Subscription confirmed: {response}")
        
        # 监听更新
        async for message in ws:
            data = json.loads(message)
            if data.get("method") == "news.update":
                article = data["params"]
                print(f"New article: {article['title']}")
                print(f"AI Score: {article['ai_score']}")
                print(f"Signal: {article['ai_signal']}")

Troubleshooting

故障排除

Authentication Errors

认证错误

Problem:

401 Unauthorized

Invalid token

Solution:

Verify token is correct from https://6551.io/mcp
Check environment variable is set:
```
echo $OPENNEWS_TOKEN
```
Ensure token has no extra spaces or quotes
For Claude Desktop, restart the app after config changes

问题：

401 Unauthorized

或

Invalid token

解决方案：

验证来自https://6551.io/mcp的token是否正确
检查环境变量是否设置：
```
echo $OPENNEWS_TOKEN
```
确保token没有多余空格或引号
对于Claude Desktop，修改配置后重启应用

No Results Returned

无结果返回

Problem: Empty results or

[]

Solution:

Check if filters are too restrictive (e.g., coin doesn't have recent news)
Increase
```
limit
```
parameter
Verify
```
engine_type
```
and
```
news_type
```
codes with
```
list_news_types
```
Try broader search (e.g., use
```
get_latest_news
```
first)

问题： 返回空结果或

[]

解决方案：

检查筛选条件是否过于严格（例如：该加密货币近期无新闻）
增大
```
limit
```
参数
使用
```
list_news_types
```
验证
```
engine_type
```
和
```
news_type
```
编码是否正确
尝试更宽泛的搜索（例如：先使用
```
get_latest_news
```
）

WebSocket Connection Issues

WebSocket连接问题

Problem: Connection fails or disconnects

Solution:

Verify token is included in URL query parameter
Check network allows WebSocket connections (corporate firewalls)
Implement reconnection logic with exponential backoff
Validate subscription message format matches JSON-RPC 2.0

问题： 连接失败或断开

解决方案：

验证URL查询参数中是否包含token
检查网络是否允许WebSocket连接（企业防火墙可能限制）
实现带指数退避的重连逻辑
验证订阅消息格式符合JSON-RPC 2.0规范

Rate Limiting

速率限制

Problem:

429 Too Many Requests

Solution:

Reduce request frequency
Use WebSocket subscriptions instead of polling
Implement request queuing with delays
Contact support for higher rate limits if needed

问题：

429 Too Many Requests

解决方案：

降低请求频率
使用WebSocket订阅替代轮询
实现带延迟的请求排队机制
如有需要，联系支持团队获取更高的速率限制

Unexpected Data Format

意外数据格式

Problem: Missing fields or unexpected values

Solution:

Not all articles have
```
coins
```
array (check
```
has_coin
```
filter)
```
ai_score
```
and
```
ai_signal
```
are always present but may be null
```
metadata
```
object is optional and varies by source
Always validate fields exist before accessing

问题： 字段缺失或值不符合预期

解决方案：

并非所有文章都有
```
coins
```
数组（可使用
```
has_coin
```
筛选）
```
ai_score
```
和
```
ai_signal
```
始终存在但可能为null
```
metadata
```
对象是可选的，且因数据源而异
访问字段前始终先验证其是否存在

Example Integration Workflows

示例集成工作流

Daily Digest Builder

每日摘要生成器

python

undefined

python

undefined

Get top 10 highest impact articles from past 24 hours

获取过去24小时内评分最高的10篇高影响文章

high_impact = get_high_score_news(min_score=85, limit=10)

Group by signal

按信号分组

bullish = [a for a in high_impact if a['ai_signal'] == 'long'] bearish = [a for a in high_impact if a['ai_signal'] == 'short']

Format digest

格式化摘要

print("📈 Bullish Signals:") for article in bullish: print(f" • {article['title']} (Score: {article['ai_score']})")

print("\n📉 Bearish Signals:") for article in bearish: print(f" • {article['title']} (Score: {article['ai_score']})")

undefined

print("📈 看涨信号：") for article in bullish: print(f" • {article['title']} (评分：{article['ai_score']})")

print("\n📉 看跌信号：") for article in bearish: print(f" • {article['title']} (评分：{article['ai_score']})")

undefined

Exchange Listing Tracker

交易所上线公告追踪器

python

undefined

python

undefined

Get all recent listings

获取所有近期上线公告

listings = get_news_by_engine(engine_type="listing", limit=50)

Group by exchange

按交易所分组

by_exchange = {} for article in listings: exchange = article['news_type'] if exchange not in by_exchange: by_exchange[exchange] = [] by_exchange[exchange].append(article)

Display

展示结果

for exchange, articles in by_exchange.items(): print(f"\n{exchange} ({len(articles)} listings):") for a in articles: coins = ', '.join(a.get('coins', [])) print(f" • {coins}: {a['title']}")

undefined

for exchange, articles in by_exchange.items(): print(f"\n{exchange}（{len(articles)}条上线公告）：") for a in articles: coins = ', '.join(a.get('coins', [])) print(f" • {coins}：{a['title']}")

undefined

Smart Money Tracker

聪明资金追踪器

python

undefined

python

undefined

Combine prediction signals with on-chain data

结合预测信号和链上数据

predictions = get_news_by_engine(engine_type="prediction", limit=30) onchain = get_news_by_engine(engine_type="onchain", limit=30)

Filter for high-confidence smart money signals

筛选高置信度聪明资金信号

smart_money = [ p for p in predictions if p['news_type'] == 'SMART_MONEY_TRADE' and p['ai_score'] >= 80 ]

Cross-reference with whale activity

交叉引用大额交易活动

whale_coins = set() for article in onchain: whale_coins.update(article.get('coins', []))

Find overlap

寻找重叠项

for signal in smart_money: signal_coins = signal.get('coins', []) overlap = set(signal_coins) & whale_coins if overlap: print(f"⚡ Smart money + whale activity: {', '.join(overlap)}") print(f" {signal['summary_en']}")

undefined

for signal in smart_money: signal_coins = signal.get('coins', []) overlap = set(signal_coins) & whale_coins if overlap: print(f"⚡ 聪明资金+大额交易活动：{', '.join(overlap)}") print(f" {signal['summary_en']}")

undefined

opennews-mcp-news-aggregation

Original

Translation

OpenNews MCP News Aggregation

OpenNews MCP 新闻聚合

Installation

安装

Prerequisites

前置条件

Claude Desktop

Claude Desktop

Using claude mcp add

使用claude mcp add

OpenClaw

OpenClaw

Configuration

配置

Environment Variables

环境变量

config.json

config.json

Data Sources Overview

数据源概述

Available Tools

可用工具

Discovery Tools

发现类工具

get_news_sources

get_news_sources

Returns hierarchical structure of all 6 engine types and their sources

返回所有6种引擎类型及其数据源的层级结构

Each source includes metadata like description and type

每个数据源包含描述和类型等元数据

list_news_types

list_news_types

Returns array of all source codes across all engine types

返回所有引擎类型下的数据源编码数组

Use these codes in other tool filters

在其他工具的过滤条件中使用这些编码

Search Tools

搜索类工具

get_latest_news

get_latest_news

Get latest 50 articles

获取最新50篇文章

search_news

search_news

Search for SEC-related news

搜索与SEC相关的新闻

search_news_by_coin

search_news_by_coin

Get Bitcoin and Ethereum news

获取比特币和以太坊相关新闻

get_news_by_source

get_news_by_source

Get Bloomberg news only

仅获取Bloomberg新闻

Get Binance listings

获取Binance上线公告

get_news_by_engine

get_news_by_engine

Get all on-chain events

获取所有链上事件

Get all prediction signals

获取所有预测信号

search_news_advanced

search_news_advanced

Bitcoin news from Bloomberg and CoinDesk mentioning "ETF"

来自Bloomberg和CoinDesk的、提及"ETF"的比特币新闻

Whale activity for SOL and ETH

SOL和ETH的大额交易活动

AI-Powered Tools

AI驱动工具

get_high_score_news

get_high_score_news

Get articles with score >= 90

获取评分≥90的文章

Get articles with score >= 70

获取评分≥70的文章

get_news_by_signal

Using
`claude mcp add`

使用
`claude mcp add`

`get_news_sources`

`get_news_sources`

`list_news_types`

`list_news_types`

`get_latest_news`

`get_latest_news`

`search_news`

`search_news`

`search_news_by_coin`

`search_news_by_coin`

`get_news_by_source`

`get_news_by_source`

`get_news_by_engine`

`get_news_by_engine`

`search_news_advanced`

`search_news_advanced`

`get_high_score_news`

`get_high_score_news`

`get_news_by_signal`

`get_news_by_signal`

`subscribe_latest_news`

`subscribe_latest_news`