What is NewsDesk?
NewsDesk converts raw news articles into a structured database of events, entities, relationships, and actions. The MCP server provides AI agents with direct access to query this data using natural language.
@NewsDeskDev
基本信息
The world's events, entities, interactions,
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"newsdesk": {
"type": "http",
"url": "https://app.newsdesk.dev/mcp"
}
}
}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。
此服务需要认证,获取工具列表可能需要登录或使用服务提供方的凭据。
点击上方按钮,直接连接服务器端点实时获取工具列表。
Newsdesk MCP for News-based Structured Intelligence is a hosted Model Context Protocol server that connects AI agents to NewsDesk's live structured news intelligence database. It converts raw news articles into a structured database of events, entities (17 types), relationships, and actions, allowing AI agents to query this data using natural language. It is intended for developers and users of MCP-compatible clients who need structured news analysis.
Create a .mcp.json file in your MCP client's working directory with the type http and URL https://app.newsdesk.dev/mcp. Restart the client; on first connection, a browser window opens for Google OAuth sign-in (a NewsDesk account is required). After signing in, you can start querying the agent with natural language questions about news entities, events, and relationships.
NewsDesk converts raw news articles into a structured database of events, entities, relationships, and actions. The MCP server provides AI agents with direct access to query this data using natural language.
No installation is required. Add the following configuration to your client's `.mcp.json`: an HTTP server with URL `https://app.newsdesk.dev/mcp`. Restart your client; a browser will open for Google sign-in. No API keys are needed.
Claude Code, Cursor, Windsurf, and any client that supports the MCP specification.
Authentication uses OAuth 2.0 via Google. The MCP client handles the flow automatically; a browser window opens on first connection, and the session is cached afterward. A NewsDesk account is required (request access via email if needed).
There are 17 tools organized into categories: Discovery (get_schema, get_stats), Entity (search_entities, get_entity, get_entity_events), Event (get_event, get_events_batch, search_events, similar_events), Relationship (get_entity_relationships, get_relationship, entity_co_mentions), Action (get_entity_actions, get_actions_between, search_actions), and Graph (graph_query, find_paths).

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