Drishti
Indian media intelligence — bilingual sentiment, Tier 1 credibility, story clustering.
What is Drishti?
Drishti is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to indian media intelligence — bilingual sentiment, tier 1 credibility, story clustering.
Indian media intelligence — bilingual sentiment, Tier 1 credibility, story clustering.
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Indian media intelligence — bilingual sentiment, Tier 1 cred
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx in-getdrishti-drishtiConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Drishti
What is Drishti?
Drishti is a Model Context Protocol (MCP) server that indian media intelligence — bilingual sentiment, tier 1 credibility, story clustering. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Drishti?
Follow the installation instructions on the Drishti GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Drishti?
Drishti works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Drishti free to use?
Yes, Drishti is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Analytics MCP Servers
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Set Up Drishti in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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