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Newsdesk MCP for News-based Structured Intelligence

@NewsDeskDev

Repository

Basic information

Category

AI & Agents

Transports

stdio

Auth

oauth

Author

NewsDeskDev

Submitted by

alpbahadur

About Newsdesk MCP for News-based Structured Intelligence

The world's events, entities, interactions,

#news#financial-markets#finance#intelligence

Newsdesk MCP for News-based Structured Intelligence config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "newsdesk": {
      "type": "http",
      "url": "https://app.newsdesk.dev/mcp"
    }
  }
}

Newsdesk MCP for News-based Structured Intelligence tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

This server requires authentication. Tool discovery may require signing in or credentials from the provider.

Fetch the live tool list directly from this server's endpoint using the button above.

Overview

What is Newsdesk MCP for News-based Structured Intelligence?

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.

How to use Newsdesk MCP for News-based Structured Intelligence?

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.

Key features of Newsdesk MCP for News-based Structured Intelligence

  • No installation required – hosted MCP server.
  • 17 entity types including people, companies, countries, and more.
  • 17 tools for discovery, entity, event, relationship, action, and graph queries.
  • Semantic search and structured filters for events.
  • Pathfinding and multi-hop graph pattern matching.
  • OAuth 2.0 with Google, no API keys to manage.

Use cases of Newsdesk MCP for News-based Structured Intelligence

  • Ask an AI agent for the latest events involving a specific company or person.
  • Explore relationships and connections between entities, such as politicians and organizations.
  • Perform semantic searches for events related to topics like AI regulation.
  • Find the shortest path or complex graph patterns between two entities.
  • Retrieve structured news intelligence for automated analysis or reporting.

Frequently asked questions

1

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.

2

How do I set up the server?

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.

3

What clients are supported?

Claude Code, Cursor, Windsurf, and any client that supports the MCP specification.

4

How does authentication work?

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).

5

What tools are available?

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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