# See repository for install instructions
{
"mcpServers": {
"ingetdrishti-drishti": {
"command": "npx",
"args": []
}
}
}
{
"mcpServers": {
"ingetdrishti-drishti": {
"command": "npx",
"args": []
}
}
}
{
"mcpServers": {
"ingetdrishti-drishti": {
"command": "npx",
"args": []
}
}
}
TRY THIS MCP
About This MCP Server
The in.getdrishti/drishti server is a media-focused tool that provides Indian media intelligence, enabling the analysis of bilingual sentiment, assessment of Tier 1 credibility, and story clustering. It connects to remote sources to gather and process media data, allowing developers to integrate these capabilities into their applications. Developers would reach for this tool when building projects that require media analysis and sentiment assessment, particularly those focused on Indian media sources.
Indian media intelligence — bilingual sentiment, Tier 1 credibility, story clustering.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with media capabilities via the streamable-http transport.
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the streamable-http transport.
What tools does it provide?
The drishti server extends your AI assistant with media capabilities. Once installed, your AI can use its tools automatically.
