# gdelt-mcp

> gdelt-mcp — svsproglead-gdeltmcp. Use this tool when you need to analyze large-scale news data, such as searching articles or visualizing sentiment and volume trends over time. The GDELT-MCP server provides an interface for querying GDELT news data, accepting search queries and date ranges as inputs and returning relevant articles and timeline analysis as outputs. It is particularly useful for applications requiring real-time news insights, such as media monitoring or market research, and can be easily integrated via Cloudflare Workers.

Canonical page: https://skillsregistry.net/skills/svsproglead-gdeltmcp  
JSON: https://api.skillsregistry.net/v1/skills/svsproglead-gdeltmcp

## Description

MCP server for querying GDELT news data, enabling article search and sentiment/volume timeline analysis via Cloudflare Workers.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tuq0kwhm2i)
- **Repository:** <https://github.com/SvSProgLead/GdeltMCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "svsproglead-gdeltmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/svsproglead-gdeltmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/svsproglead-gdeltmcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt