Stanford GDELT MCP Server for CursorGive Cursor instant access to 16 tools to Get Geo Data, Get Themes, Get Timeline Country, and more

Name: Stanford GDELT
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

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Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Ask AI about this MCP Server for Cursor

Open in ChatGPT Open in Claude Open in Perplexity

The Stanford GDELT MCP Server for Cursor is a standout in the Data Analytics category — giving your AI agent 16 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

Classic Setup·json

{
  "mcpServers": {
    "stanford-gdelt": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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About Stanford GDELT MCP Server

Connect to the GDELT Project API — the world's largest open platform for monitoring global news media in real time.

Cursor's Agent mode turns Stanford GDELT into an in-editor superpower. Ask Cursor to generate code using live data from Stanford GDELT and it fetches, processes, and writes. all in a single agentic loop. 16 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Article Search — Search global news articles with filters for language, country, date range, and topic
Volume Timelines — Track how media attention to any topic changes over time
Sentiment Analysis — Monitor tone and sentiment shifts in coverage of any subject
Geographic Mapping — Visualize where news events are happening around the world
TV News Search — Search closed caption transcripts from CNN, Fox News, MSNBC, BBC, and more
Theme Analysis — Explore standardized GDELT themes across geopolitics, health, environment, and economics
Language Distribution — See which linguistic communities are covering a topic
Country Distribution — Identify which nations produce the most coverage of specific issues
Proximity Search — Find articles where two terms appear near each other
Word Clouds — Extract dominant terms and concepts from coverage

The Stanford GDELT MCP Server exposes 16 tools through the Vinkius. Connect it to Cursor in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 16 Stanford GDELT tools available for Cursor

When Cursor connects to Stanford GDELT through Vinkius, your AI agent gets direct access to every tool listed below — spanning gdelt, global-news, sentiment-analysis, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get geo data on Stanford GDELT

Each point includes coordinates, location name, and article metadata. Use modes: "PointData" for individual points, "PointHeat" for heatmap data. Get geographic point data for news events

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Get themes on Stanford GDELT

GDELT uses hundreds of themes from politics, economics, health, environment, technology, and more to classify news content. Get GDELT theme distribution for a topic

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Get timeline country on Stanford GDELT

Reveals geographic patterns in media attention, identifies when a story goes global, and shows which nations are most interested in specific issues. Get source country distribution timeline

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Get timeline lang on Stanford GDELT

Reveals which linguistic communities are paying attention to an issue and when interest spreads across language barriers. Get language distribution timeline for a topic

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Get timeline tone on Stanford GDELT

Positive values indicate positive coverage, negative values indicate negative coverage. Essential for tracking public opinion shifts, crisis communications, and brand reputation monitoring. Get sentiment and tone timeline for a topic

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Get timeline volume on Stanford GDELT

Essential for tracking media attention, identifying news spikes, and understanding the lifecycle of a story. Default timespan is 3 months. Get news volume timeline for any topic

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Get tone chart on Stanford GDELT

Shows whether coverage is predominantly positive, negative, or neutral, and the overall emotional intensity of the coverage. Get tone distribution chart for a topic

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Get tv channels on Stanford GDELT

Use this to understand the scope of TV news coverage available for analysis. Get available TV news channels inventory

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Get tv timeline on Stanford GDELT

Reveals which stories dominate TV airtime and how TV coverage patterns differ from online news. Get TV news mention volume timeline

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Get word cloud on Stanford GDELT

Reveals the dominant themes, entities, and concepts associated with a topic in media discourse. Get word cloud data showing key terms for a topic

Search articles on Stanford GDELT

Returns article titles, URLs, dates, source domains, languages, and source countries. Use timespan like "1d" (1 day), "1w" (1 week), "3m" (3 months). Use sourcelang codes like "english", "spanish", "portuguese", "french", "chinese", "arabic". Use sourcecountry codes like "US", "BR", "UK", "FR", "DE". Search global news articles across 100+ languages

Search by country on Stanford GDELT

Country codes follow ISO 2-letter format: US (United States), BR (Brazil), UK (United Kingdom), FR (France), DE (Germany), CN (China), JP (Japan), IN (India), RU (Russia), AU (Australia), CA (Canada), etc. Essential for understanding country-specific media perspectives on global events. Search news articles from a specific country

Search by language on Stanford GDELT

Covers 100+ languages. Language codes include: english, spanish, portuguese, french, german, italian, chinese, japanese, korean, arabic, russian, hindi, turkish, dutch, swedish, polish, and many more. Essential for monitoring how different linguistic communities cover the same event. Search news articles in a specific language

Search by theme on Stanford GDELT

Themes are standardized topic categories like TAX_FNCACT (financial actions), HEALTH_PANDEMIC, ENV_CLIMATECHANGE, TERROR, PROTEST, ELECTION, ECON_BANKRUPTCY, etc. Use this for precise topic-based monitoring. Search articles by GDELT standardized theme

Search nearby on Stanford GDELT

More precise than simple keyword search. Use distance parameter to control proximity (default 10 words). Example: term1="climate", term2="migration", distance=15. Search articles where two terms appear near each other

Search tv on Stanford GDELT

Returns clips with timestamps, station names, transcript snippets, and video preview URLs. Covers CNN, Fox News, MSNBC, BBC, and more. Modes: "ClipGallery" for clips, "StationChart" for station comparison. Search TV news transcripts by keyword

Connect Stanford GDELT to Cursor via MCP

Follow these steps to wire Stanford GDELT into Cursor. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Stanford GDELT

Open Agent mode in chat and ask: "Using Stanford GDELT, help me...". 16 tools available

Why Use Cursor with the Stanford GDELT MCP Server

Cursor AI Code Editor provides unique advantages when paired with Stanford GDELT through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Stanford GDELT + Cursor Use Cases

Practical scenarios where Cursor combined with the Stanford GDELT MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Example Prompts for Stanford GDELT in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Stanford GDELT immediately.

"What are the latest news articles about AI regulation?"

"How has sentiment about climate change evolved over the last 3 months?"

"Search for TV news clips mentioning quantum computing"

Troubleshooting Stanford GDELT MCP Server with Cursor

Common issues when connecting Stanford GDELT to Cursor through Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Stanford GDELT + Cursor FAQ

Common questions about integrating Stanford GDELT MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.