OpenNews MCP
A cryptocurrency news aggregation server providing AI-powered sentiment ratings, trading signals, and real-time market updates. It allows users to search news by coin, source, or engine type and filter results based on AI impact scores and bullish/bearish signals.
README
<p align="center"> <b>OpenNews MCP Server</b><br> Crypto News Aggregation · AI Ratings · Trading Signals · Real-time Updates </p>
<p align="center"> <a href="./README.md">English</a> | <a href="./docs/README_ZH.md">中文</a> | <a href="./docs/README_JA.md">日本語</a> | <a href="./docs/README_KO.md">한국어</a> </p>
Quick Install
First, get your API Token at https://6551.io/mcp.
Claude Code
claude mcp add opennews \
-e OPENNEWS_TOKEN=<your-token> \
-- uv --directory /path/to/opennews-mcp run opennews-mcp
Replace
/path/to/opennews-mcpwith your local project path, and<your-token>with your API token.
OpenClaw
export OPENNEWS_TOKEN="<your-token>"
cp -r openclaw-skill/opennews ~/.openclaw/skills/
Let AI Review and Install
Not sure if this MCP is safe? Send the following prompt to your AI assistant to review the source code before installing:
Copy the prompt below and paste it to your AI assistant (replace
<project-path>and<your-token>with actual values):
Please help me review and install the opennews-mcp MCP server. The project is at <project-path>.
Steps:
1. Review the security of the following files:
- src/opennews_mcp/api_client.py — Confirm it only connects to ai.6551.io, no data sent elsewhere
- src/opennews_mcp/config.py — Confirm token is only read from local config.json or env vars, not hardcoded or leaked
- src/opennews_mcp/tools/*.py — Confirm all tools only do API queries, no file writes, command execution, or dangerous operations
- pyproject.toml — Confirm dependencies are only mcp, httpx, websockets, no suspicious packages
2. Tell me your conclusion: Safe / Risky / Problematic, and the specific reasons
3. If safe, help me install (Token from https://6551.io/mcp):
claude mcp add opennews -e OPENNEWS_TOKEN=<your-token> -- uv --directory <project-path> run opennews-mcp
What Can It Do?
After connecting, just tell your AI assistant:
| You Say | It Does |
|---|---|
| "Latest crypto news" | Get latest articles |
| "Search SEC regulation news" | Full-text keyword search |
| "BTC related news" | Filter by coin |
| "Bloomberg articles" | Filter by source |
| "On-chain events" | Filter by engine type (onchain) |
| "Important news with AI score above 80" | High score filtering |
| "Bullish signals" | Filter by trading signal (long) |
| "Subscribe to real-time news" | WebSocket live updates |
Available Tools
| Category | Tool | Description |
|---|---|---|
| Discovery | get_news_sources |
Get all news source category tree |
list_news_types |
All available news source codes | |
| Search | get_latest_news |
Latest articles |
search_news |
Keyword search | |
search_news_by_coin |
By coin (BTC, ETH, SOL...) | |
get_news_by_source |
By engine type and source | |
get_news_by_engine |
By type (news, listing, onchain, meme, market) | |
search_news_advanced |
Advanced search (multiple filters) | |
| AI | get_high_score_news |
Articles with score >= threshold |
get_news_by_signal |
By signal: long / short / neutral | |
| Real-time | subscribe_latest_news |
WebSocket real-time collection |
Configuration
Get API Token
Get your API Token at https://6551.io/mcp.
Set environment variable:
# macOS / Linux
export OPENNEWS_TOKEN="<your-token>"
# Windows PowerShell
$env:OPENNEWS_TOKEN = "<your-token>"
| Variable | Required | Description |
|---|---|---|
OPENNEWS_TOKEN |
Yes | 6551 API Bearer Token (from https://6551.io/mcp) |
OPENNEWS_API_BASE |
No | Override REST API URL |
OPENNEWS_WSS_URL |
No | Override WebSocket URL |
OPENNEWS_MAX_ROWS |
No | Max results per request (default 100) |
Also supports config.json in project root (env vars take precedence):
{
"api_base_url": "https://ai.6551.io",
"wss_url": "wss://ai.6551.io/open/news_wss",
"api_token": "<your-token>",
"max_rows": 100
}
Data Structure
Each article returns:
{
"id": "unique-article-id",
"text": "Title / Content",
"newsType": "Bloomberg",
"engineType": "news",
"link": "https://...",
"coins": [{ "symbol": "BTC", "market_type": "spot", "match": "title" }],
"aiRating": {
"score": 85,
"grade": "A",
"signal": "long",
"status": "done",
"summary": "Chinese summary",
"enSummary": "English summary"
},
"ts": 1708473600000
}
| AI Field | Description |
|---|---|
score |
0-100 impact score |
signal |
long (bullish) / short (bearish) / neutral |
status |
done = AI analysis completed |
<details> <summary><b>Manual Installation for Other Clients</b> (click to expand)</summary>
In all configurations below, replace
/path/to/opennews-mcpwith your actual local project path, and<your-token>with your token from https://6551.io/mcp.
Claude Desktop
Edit config file (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json, Windows: %APPDATA%\Claude\claude_desktop_config.json):
{
"mcpServers": {
"opennews": {
"command": "uv",
"args": ["--directory", "/path/to/opennews-mcp", "run", "opennews-mcp"],
"env": {
"OPENNEWS_TOKEN": "<your-token>"
}
}
}
}
Cursor
~/.cursor/mcp.json or Settings > MCP Servers:
{
"mcpServers": {
"opennews": {
"command": "uv",
"args": ["--directory", "/path/to/opennews-mcp", "run", "opennews-mcp"],
"env": {
"OPENNEWS_TOKEN": "<your-token>"
}
}
}
}
Windsurf
~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"opennews": {
"command": "uv",
"args": ["--directory", "/path/to/opennews-mcp", "run", "opennews-mcp"],
"env": {
"OPENNEWS_TOKEN": "<your-token>"
}
}
}
}
Cline
VS Code sidebar > Cline > MCP Servers > Configure, edit cline_mcp_settings.json:
{
"mcpServers": {
"opennews": {
"command": "uv",
"args": ["--directory", "/path/to/opennews-mcp", "run", "opennews-mcp"],
"env": {
"OPENNEWS_TOKEN": "<your-token>"
},
"disabled": false,
"autoApprove": []
}
}
}
Continue.dev
~/.continue/config.yaml:
mcpServers:
- name: opennews
command: uv
args:
- --directory
- /path/to/opennews-mcp
- run
- opennews-mcp
env:
OPENNEWS_TOKEN: <your-token>
Cherry Studio
Settings > MCP Servers > Add > Type stdio: Command uv, Args --directory /path/to/opennews-mcp run opennews-mcp, Env OPENNEWS_TOKEN.
Zed Editor
~/.config/zed/settings.json:
{
"context_servers": {
"opennews": {
"command": {
"path": "uv",
"args": ["--directory", "/path/to/opennews-mcp", "run", "opennews-mcp"],
"env": {
"OPENNEWS_TOKEN": "<your-token>"
}
}
}
}
}
Any stdio MCP Client
OPENNEWS_TOKEN=<your-token> \
uv --directory /path/to/opennews-mcp run opennews-mcp
</details>
Compatibility
| Client | Installation | Status |
|---|---|---|
| Claude Code | claude mcp add |
One-click |
| OpenClaw | Copy Skill directory | One-click |
| Claude Desktop | JSON config | Supported |
| Cursor | JSON config | Supported |
| Windsurf | JSON config | Supported |
| Cline | JSON config | Supported |
| Continue.dev | YAML / JSON | Supported |
| Cherry Studio | GUI | Supported |
| Zed | JSON config | Supported |
Related Projects
- twitter-mcp - Twitter/X data MCP server
Development
cd /path/to/opennews-mcp
uv sync
uv run opennews-mcp
# MCP Inspector test
npx @modelcontextprotocol/inspector uv --directory /path/to/opennews-mcp run opennews-mcp
Project Structure
├── README.md
├── openclaw-skill/opennews/ # OpenClaw Skill
├── knowledge/guide.md # Embedded knowledge
├── pyproject.toml
├── config.json
└── src/opennews_mcp/
├── server.py # Entry point
├── app.py # FastMCP instance
├── config.py # Config loading
├── api_client.py # HTTP + WebSocket
└── tools/ # Tools
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.