# octolens [Health: Active]

**Category:** 🎯 Marketing  
**Repository:** https://octolens.com/mcp  
**Views:** 3  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/octolens

## Description
Social listening for AI: query brand mentions across 15+ platforms, run analytics, manage keywords.

## Claude Desktop Quick Installation
Remote MCP endpoint (confidence: medium). Install path inferred — verify against the README before running it. Add as a URL/SSE server in your client:

```json
"mcpServers": {
  "octolens": {
    "url": "https://octolens.com/mcp"
  }
}
```

## Documentation

## What octolens MCP server does

The octolens MCP server supports social listening for AI workflows. It works with brand mentions collected across more than 15 platforms, giving an agent a way to query discussion related to a monitored brand. The available description identifies three main areas: searching mentions, running analytics, and managing keywords.

This places the octolens MCP server in the 🌐 Social Media category. It may fit workflows that need to review how a brand is being discussed across several platforms rather than checking each source separately. The provided material does not identify the individual platforms, the kinds of analytics available, or the format of returned results.

## Tools and capabilities

Based on the available description, the octolens MCP server covers these functions:

- Query brand mentions across 15+ platforms.
- Run analytics on the available social-listening data.
- Create or manage keywords used for monitoring.

The term “brand mentions” is the only supported scope for monitored content. No details are available about sentiment analysis, alerts, exports, historical ranges, user accounts, competitor tracking, or actions that publish or modify content on social platforms. Those capabilities should not be assumed when evaluating the server.

## How it works

An AI workflow uses the octolens MCP server to send requests for brand-mention data, analytics, or keyword management. Queries are handled across the set of supported platforms, which the source describes only as more than 15 services. Keywords appear to define or refine what the social-listening workflow monitors, while analytics provide a way to examine the resulting data.

The source does not document tool names, parameters, response schemas, pagination behavior, rate limits, authentication flow, or whether queries are real-time or historical. Developers should verify those details at the project source before building an integration that depends on a particular request shape or data freshness.

## Limitations and notes

The repository README is unavailable in the supplied material. As a result, this reference cannot confirm installation commands, required environment variables, supported MCP clients, licensing, platform-by-platform coverage, or operational limits for the octolens MCP server. The source URL identifies the project as an MCP endpoint, but it does not provide enough information here to describe transport or deployment requirements.

Use the octolens MCP server when the documented requirements match a need to query brand mentions, analyze social-listening data, or manage monitoring keywords. Confirm implementation details directly from the project before selecting it for production use.

_Full upstream README: https://allmcps.com/mcp/octolens/readme_