# MCP Goodnews

> Use this tool when you need to discover uplifting news stories, as it solves the problem of information overload by fetching and ranking positive news articles from NewsAPI using Cohere LLM sentiment analysis. It takes user queries as input and outputs curated lists of good news, providing an interface for users to access inspiring content. Ideal for use in applications like Claude Desktop, where users seek to stay informed with a positive outlook.

Canonical page: https://skillsregistry.net/skills/vectorinstitute-mcp-goodnews  
JSON: https://api.skillsregistry.net/v1/skills/vectorinstitute-mcp-goodnews

## Description

A Model Context Protocol server that fetches and ranks positive news articles from NewsAPI using Cohere LLM sentiment analysis, enabling users to access uplifting news stories through interfaces like Claude Desktop.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/baccffffsu)
- **Repository:** <https://github.com/VectorInstitute/mcp-goodnews>

## 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": "vectorinstitute-mcp-goodnews"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vectorinstitute-mcp-goodnews` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vectorinstitute-mcp-goodnews/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