Owlseer-AI

Owlseer-AI / Social-ops

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Open-source MCP + SaaS console for social-media topic-aggregation reports across Reddit / Instagram / Facebook / X / App Store / Google Play. No LLM required, localhost-only by default. 开源社交媒体情报 MCP 服务 + SaaS 控制台，主题聚合报告覆盖 Reddit / Instagram / Facebook / X / App Store / Google Play，无需 LLM，默认仅本机可访问。

localhost:8088 bilingual claude-code docker-compose facebook fastapi
10
0
100% credibility
Found Apr 21, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An open-source platform providing topic-clustered sentiment reports from social media sites like Reddit, Instagram, Facebook, X, and app stores, with a web console for management and AI agent integration.

How It Works

1
🔍 Discover Social-Ops

You hear about this handy tool that gathers insights from social media like Reddit and Instagram for your AI helper.

2
🚀 Start the dashboard

Run a simple setup command and open your web browser to a welcoming control panel at a local address.

3
🧙 Add your connections

Follow the easy step-by-step guide to enter details for free services like Reddit and optional ones for Instagram or X.

4
🔄 Refresh and connect

Click to update, then copy a link to connect it to your AI chat tool like Claude or Cursor.

5
💬 Ask your AI questions

Chat with your AI saying things like 'What's hot in r/python this month?' and it starts gathering fresh insights.

📊 Enjoy your reports

Browse beautiful summaries of topics, sentiments, trends, and quotes in the dashboard while your AI explains them.

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AI-Generated Review

What is Social-ops?

Social-ops is a self-hosted Python tool that wires AI agents into social media intelligence via MCP protocol. Developers spin it up with Docker Compose for a localhost web console at port 8088 and MCP endpoint at 8097, pulling topic-clustered reports with sentiment analysis from Reddit, Instagram, Facebook, X, App Store, and Google Play. No LLM needed—just async tools like `analyze_reddit` or `analyze_instagram` that kick off tasks, poll status, and deliver markdown reports with KPIs, trends, and evidence citations.

Why is it gaining traction?

As an open-source MCP server and client library alternative to proprietary social ops platforms, it hooks devs building AI agents in Claude Code, Cursor, or Continue.dev. Free Reddit/X paths plus freemium Apify for IG/FB mean low-cost entry, while the SaaS-like console handles credential wizards (OAuth, session cookies) and task tracking. Self-hosted security (127.0.0.1 bind) and multilingual UI (6 languages) make it a practical GitHub open source tool for agentic workflows.

Who should use this?

AI agent builders integrating social signals into Claude or Cursor sessions, product ops teams monitoring subreddit chatter or app reviews, and indie devs needing deterministic topic aggregation without vendor lock-in. Ideal for "analyze r/python trends this month" prompts or cross-platform competitor intel.

Verdict

Promising open-source MCP platform for social ops, but at 10 stars and 1.0% credibility, it's early—docs are solid, quickstart works, yet expect tweaks for production scale. Try it if you want self-hosted GitHub actions alternative for agent tools; skip for battle-tested maturity.

(178 words)

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