Octolens MCP - Integration Guide¶
Source: mcp.so listing (remote MCP server)
Author: Octolens
Endpoint: https://app.octolens.com/api/mcp/v2
Transport: Streamable HTTP
Auth: OAuth
Docs: octolens.com/docs/mcp/v2/overview
Website: octolens.com/mcp
What It Does¶
Octolens is one API for every brand mention across the internet - and this MCP server puts it directly into your AI agent's hands.
Coverage spans 15+ platforms: Reddit, X (Twitter), LinkedIn, Hacker News, YouTube, Bluesky, GitHub, Stack Overflow, dev communities, podcasts, newsletters, news, Product Hunt, Medium, and TikTok.
Every mention is AI-filtered for relevance and scored for sentiment before it reaches your agent. Companies like Vercel, PostHog, and Prisma use Octolens to catch conversations across the web.
The MCP server enables: - Support agents that know what users complain about in real time - Research agents with real voice-of-customer data for product decisions - Marketing agents that pull social proof on demand without manual searching - SQL queries over your entire mention history - no dashboard, no CSV export
Setup¶
Prerequisites¶
- An Octolens account at octolens.com
- One or more brand monitoring topics configured in your Octolens dashboard
MCP Client Configuration¶
Add this to your MCP client's server configuration:
{
"mcpServers": {
"remote-server": {
"type": "http",
"url": "https://app.octolens.com/api/mcp/v2"
}
}
}
For Claude Code:
claude mcp add octolens https://app.octolens.com/api/mcp/v2
OAuth Flow¶
On first connection, your MCP client opens a browser window for OAuth authorization. Once authorized, credentials are reused for future sessions. No API key management required.
Use Cases for Business Operators¶
- Brand monitoring: "What did people say about us on Hacker News this week?"
- Competitive intelligence: "Summarize competitor mentions on Reddit from the last 30 days"
- Customer support triage: "Are there any unresolved complaints about our API on Stack Overflow?"
- Content sourcing: "Pull the top 5 positive testimonials from LinkedIn for our case studies page"
- Trend detection: "What topics are trending in our community across platforms?"
- SQL-powered analytics: Run complex queries over months of mention data - filter by platform, sentiment, date range, keyword
Operator Relevance ★★★¶
Octolens MCP is directly relevant to CorpusIQ's target audience of business operators and marketers. Brand monitoring is a core operational need, and Octolens is the first MCP-native solution that makes social listening conversational rather than dashboard-driven. Instead of logging into yet another SaaS tool, operators can ask their AI assistant directly and get structured, filtered results.
For marketing operators: social proof, competitor tracking, content sourcing.
For product operators: voice-of-customer, feature request tracking, community health.
For support operators: issue detection, sentiment trends, platform-specific monitoring.
Integration with CorpusIQ¶
CorpusIQ is the connector layer that lets AI assistants read the systems a business already runs on - accounting, payments, CRM, email, files and analytics - and answer with the source named. It is read-only by design: it retrieves data and never writes to, or acts in, a connected system, which is what makes it safe to point at live accounts.
This page is part of the CorpusIQ directory, the reference we maintain for the MCP server and agent-skill ecosystem. Run alongside CorpusIQ, a third-party server like this one can be combined with a company's own business data in a single answer.
See Also¶
- External MCP Server Catalog(/hermes/mcp/servers/external/)
- Competitor Tracker MCP(/hermes/mcp/servers/external/competitor-tracker-mcp/) - competitor website change monitoring
- AI Visibility Analytics MCP(/hermes/mcp/servers/external/ai-visibility-analytics/) - brand presence tracking across AI providers