# Drishti

> Use this tool when you need to analyze Indian media sentiment and credibility in both Hindi and English languages. Drishti solves problems related to media intelligence, such as sentiment analysis and narrative clustering, by providing insights from major Indian news outlets. It takes in news data as input and outputs bilingual sentiment analysis, source credibility scores, and narrative clusters through its remote endpoint interface.

Canonical page: https://skillsregistry.net/skills/drishti  
JSON: https://api.skillsregistry.net/v1/skills/drishti

## Description

Drishti provides Indian media intelligence for AI agents, delivering bilingual (Hindi and English) sentiment analysis, Tier 1 source credibility scoring, and narrative clustering across major Indian news outlets. It connects to the getdrishti.in platform through a hosted remote endpoint.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/drishti)
- **Repository:** <https://github.com/yashkapoor43-gif/drishti/tree/HEAD/drishti-mcp>

## 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": "drishti"
    }
  }
}
```

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