Integrate Stanford GDELT with Claude, Cursor, Chatbots & AI Agents MCP Server

Analyze global news events and media coverage in real time with the world largest open dataset of human society.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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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

Security & Code Integrity Audit

Every tool in the Stanford GDELT MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

FScore: 3.6

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

Is there a risk of the AI "going crazy" and deleting important company data?

No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.

How often is GDELT updated?

GDELT updates every 15 minutes, making it one of the most real-time global news monitoring platforms available. It processes news from virtually every country on Earth in over 100 languages.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

Supported Use Cases for Stanford GDELT

We map standard API endpoints to agent-compatible instructions. Connect Stanford GDELT to execute these core functional operations.

Mastering gdelt with Agents

The Stanford GDELT connection gives ChatGPT direct access to gdelt tools. The integration handles the logic required for continuous data analytics operations.

Autonomous global news via AI

The Stanford GDELT integration exposes LLM-friendly schemas for global news. Tools like Cursor can map natural language directly into executable data analytics commands.