Newsdesk MCP for News-based Structured Intelligence

Created By
NewsDeskDev5 days ago
The world's events, entities, interactions, at unprecedented research depth. NewsDesk structures the news into events, entities, relationships, and actions — then lets you query across them. Trace exposure, find hidden connections, surface patterns before they move markets. NewsDesk doesn't index news. It structures it — then exposes primitives that let you traverse the graph of the world in ways that weren't possible before. Describe a pattern — not a name. NewsDesk finds every entity in the world matching that structural description. Valuation filters, event history filters, relationship filters, all composable.
Overview

NewsDesk MCP Server

Connect AI agents to NewsDesk's live structured news intelligence database via the Model Context Protocol.

This is a hosted MCP server. No installation required — connect any MCP-compatible client to https://app.newsdesk.dev/mcp and authenticate with Google.

What is NewsDesk?

NewsDesk converts raw news articles into a structured database of events, entities (people, companies, countries — 17 types), relationships, and actions. The MCP server gives AI agents direct access to query this data using natural language.

Quick Start (2 minutes)

1. Create .mcp.json

Add this file to the directory where you run your MCP client:

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

No API keys or tokens to manage.

2. Restart your client

Claude Code, Cursor, Windsurf, and other MCP clients pick up .mcp.json on startup.

3. Sign in

On first connection, your client opens a browser for Google sign-in. Use the same account you use for the NewsDesk dashboard. Your session is cached after the first sign-in.

4. Start querying

Ask your agent questions like:

  • "What's happening with NVIDIA and China?"
  • "How are Elon Musk and the SEC connected?"
  • "Find all government agencies that took negative actions against tech companies"
  • "Find the path between Donald Trump and Saudi Arabia"

The agent automatically selects the right tools to answer.

Tools (17)

CategoryToolsWhat they do
Discoveryget_schema, get_statsData model reference, database statistics
Entitysearch_entities, get_entity, get_entity_eventsFind and inspect any of 17 entity types
Eventget_event, get_events_batch, search_events, similar_eventsSemantic search, structured filters, similarity, bulk fetch
Relationshipget_entity_relationships, get_relationship, entity_co_mentionsBrowse connections, pair details, co-mention strength
Actionget_entity_actions, get_actions_between, search_actionsWho did what to whom — sanctions, acquisitions, agreements
Graphgraph_query, find_pathsMulti-hop pattern matching, shortest paths between entities

See TOOLS.md for full parameter documentation and examples.

Entity Types

CodeTypeExample
perPersonper___Donald_Trump
stockPublic companystock___NVIDIA
privPrivate companypriv___SpaceX
subsSubsidiarysubs___YouTube
cntCountrycnt___China
govactorGovernment agencygovactor___United_States===Federal_Reserve
cbnkCentral bankcbnk___Japan===Bank_of_Japan
polpartyPolitical partypolparty___United_States===Republican_Party
currCurrencycurr___US_Dollar
cmdtCommoditycmdt___Crude_Oil
cryptoCryptocurrencycrypto___Bitcoin
indexMarket indexindex___S&P_500
exchStock exchangeexch___NYSE
allianceInternational alliancealliance___NATO
ngoNGOngo___Amnesty_International
milMilitarymil___United_States===US_Army
locLocationloc___Silicon_Valley

Entity reference format: type___Name (triple underscore). Parent-child: type___Parent===Child.

Example Workflows

Entity lookup

"Tell me about Tesla"

Agent calls: search_entities("Tesla")get_entity("stock___Tesla_Inc.")get_entity_events("stock___Tesla_Inc.")

Relationship exploration

"How are the US and China connected?"

Agent calls: search_entities("United States")get_entity_relationships("cnt___United_States")get_relationship("cnt___United_States", "cnt___China")

Semantic search

"What events are related to AI regulation in Europe?"

Agent calls: search_events(query="AI regulation Europe")

Complex graph pattern

"Find all CEOs of companies that have relationships with China"

Agent calls: graph_query({nodes: {CHINA: anchor, COMPANIES: intermediate, CEOS: result}, edges: [...]})

Pathfinding

"How is Elon Musk connected to the Federal Reserve?"

Agent calls: find_paths("per___Elon_Musk", "govactor___United_States===Federal_Reserve")

Supported Clients

Authentication

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. No API keys to manage.

Requires a NewsDesk account. Request access if you don't have one.

License

MIT — see LICENSE.

Server Config

{
  "mcpServers": {
    "newsdesk": {
      "type": "http",
      "url": "https://app.newsdesk.dev/mcp"
    }
  }
}
Project Info
Created At
5 days ago
Updated At
4 days ago
Author Name
NewsDeskDev
Star
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License
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