Which integrations are available for this server?

Enables web search via Brave Search API, providing titles, URLs, and descriptions for search results. Enables scraping Facebook groups, pages, and keyword search via Apify. Integrates with Meta Ad Library API to scrape Facebook ads and analyze ad strategies. Uses Mozilla Readability to fetch any URL and convert it to clean, readable markdown. Provides access to various third-party APIs through RapidAPI hub, including Reddit, YouTube, TikTok, and fallback for X/Twitter search. Provides tools for searching Reddit posts, reading full threads with comment trees, and fetching top posts from any subreddit. Offers website traffic, ranking, and engagement analytics via SimilarWeb API. Provides local data storage and querying for scraped posts with deduplication and run history. Enables searching TikTok videos for content analysis. Allows searching YouTube videos for content discovery.

How do I use hidrix-tools?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@hidrix-tools search the web for latest AI developments" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

hidrix-tools

by sonpiaz

Overview Schema Related Servers Score Discussions

TypeScript

Remote

What is hidrix-tools?

AI agents like Claude, OpenClaw, Hermes, Cursor, and pi can read files and write code — but they can't search the web, read social media, or scrape data on their own.

hidrix-tools fixes that. It's an MCP server that provides tools for web search, social media search, Facebook scraping, content analysis, and more. Plug it into any agent that supports MCP — no vendor lock-in.

Your AI Agent                    hidrix-tools                     Internet
┌──────────┐     MCP protocol    ┌──────────────┐                ┌─────────┐
│ Claude   │ ◄─────────────────► │ web_search   │ ◄────────────► │ Brave   │
│ OpenClaw │                     │ x_search     │                │ X/Twitter│
│ Hermes   │                     │ reddit_search│                │ Reddit  │
│ Cursor   │                     │ facebook_    │                │ Facebook│
│ pi       │                     │   scraper    │                │ YouTube │
│ Codex    │                     │ content_     │                │ TikTok  │
│ ...      │                     │   scorer     │                │ Meta Ads│
└──────────┘                     └──────────────┘                └─────────┘

Related MCP server: Percival Deep Research

Why use hidrix-tools?

Without hidrix-tools	With hidrix-tools
Agent can only read local files	Agent can search web, read articles, scrape social media
"I don't have access to the internet"	"Here are the top 10 Reddit posts about your topic this week"
Manual copy-paste research	Agent autonomously gathers data from 7+ platforms
No competitive intelligence	Agent scrapes competitor FB pages, analyzes engagement patterns
One platform at a time	Cross-platform research in a single conversation

Compatible agents

Agent / Platform	Setup	Status
Claude Code / Claude Desktop	`settings.json` → mcpServers	✅ Tested
pi	Native extension (no MCP)	✅ Tested
OpenClaw	`openclaw.json` → mcp_servers	✅ Compatible
Hermes Agent	`config.yaml` → mcp_servers	✅ Compatible
Cursor	MCP settings	✅ Compatible
Codex CLI	MCP config	✅ Compatible
Any MCP client	stdio transport	✅

Tools

Search

Tool	Source	What it does
`web_search`	Brave Search	Search the web — titles, URLs, descriptions
`x_search`	GetXAPI / RapidAPI	Search X/Twitter with engagement data (likes, retweets, views)
`x_thread_reader`	GetXAPI	Read full X threads, articles, and tweet replies
`x_user_posts`	GetXAPI	Get recent posts from a specific X user with engagement
`reddit_search`	RapidAPI	Search Reddit with full text and engagement data
`reddit_thread_reader`	Reddit JSON API (free)	Read full post + comment tree
`reddit_subreddit_top`	Reddit JSON API (free)	Top posts from any subreddit by time range
`youtube_search`	RapidAPI	Search YouTube videos
`tiktok_search`	RapidAPI	Search TikTok videos

Scrape & Fetch

Tool	Source	What it does
`web_fetch`	Mozilla Readability	Fetch any URL → clean readable markdown
`facebook_scraper`	Apify + Meta API	Scrape FB groups, pages, keyword search, or Meta Ad Library

Analyze

Tool	Source	What it does
`content_scorer`	Built-in	Score and rank posts by weighted engagement + time-decay
`content_analyzer`	Built-in	Topic clusters, content patterns, timing trends, author leaderboard

Tool	Source	What it does
`linkedin_search`	Apify (no login)	Search LinkedIn posts by keyword with engagement data
`linkedin_profile`	Apify (no login)	Get recent posts from a LinkedIn profile

Intel

Tool	Source	What it does
`similarweb`	RapidAPI	Website traffic, rank, engagement analytics

Storage & Automation

Tool	Source	What it does
`data_store`	SQLite (built-in)	Save/query scraped posts, dedup, run history, storage stats

Real-world use cases

🔍 Research agent

"Find top 10 posts about AI agents on Reddit this week, compare with X/Twitter, summarize the trends"

Agent uses: reddit_search → x_search → content_analyzer

📊 Content pipeline

"Scrape 5 Facebook groups about marketing VN, rank top 100 posts by engagement, analyze patterns"

Agent uses: facebook_scraper (group mode) → content_scorer → content_analyzer

🕵️ Competitive intelligence

"What ads is competitor X running on Facebook? What's their messaging strategy?"

Agent uses: facebook_scraper (ads mode) → Meta Ad Library API (free)

📰 Article research

"Read these 5 articles and summarize the key insights"

Agent uses: web_fetch (for each URL)

📈 Market research

"What are people saying about product X across Reddit, X, and YouTube?"

Agent uses: reddit_search + x_search + youtube_search → content_analyzer

🏆 Top content discovery

"Find the most viral posts in this Facebook group this month"

Agent uses: facebook_scraper → content_scorer (sort by engagement)

Install

Quick setup

git clone https://github.com/sonpiaz/hidrix-tools.git ~/.hidrix-tools
cd ~/.hidrix-tools && bun install && cp .env.example .env
# Add your API keys to .env

Connect to your agent

Claude Code — add to ~/.claude/settings.json:

{
  "mcpServers": {
    "hidrix-tools": {
      "command": "bun",
      "args": ["run", "/path/to/hidrix-tools/server.ts"]
    }
  }
}

OpenClaw — add to openclaw.json:

mcp_servers:
  hidrix-tools:
    command: "bun"
    args: ["run", "/path/to/hidrix-tools/server.ts"]

Hermes Agent — add to ~/.hermes/config.yaml:

mcp_servers:
  hidrix-tools:
    command: "bun"
    args: ["run", "/path/to/hidrix-tools/server.ts"]

pi (coding agent) — copy extension:

cp -r integrations/pi-extension ~/.pi/agent/extensions/hidrix-tools
# Then /reload in pi

See integrations/pi-extension/README.md for details.

Standalone (any MCP client):

bun run server.ts

API Keys

Tools are auto-skipped if their API keys are missing — only configure what you need.

Key	Tools	Free Tier	Get it
`BRAVE_API_KEY`	web_search	2,000 queries/month	api.search.brave.com
`GETXAPI_KEY`	x_search, x_thread_reader, x_user_posts	$0.001/call, no subscription	getxapi.com
`RAPIDAPI_KEY`	x_search (fallback), reddit_search, youtube_search, tiktok_search	Varies	rapidapi.com
`SUPADATA_API_KEY`	youtube_channel (primary)	Paid from $9/mo	supadata.ai
`APIFY_API_TOKEN`	facebook_scraper (group/page/search)	$5/month credit	console.apify.com
`META_ADS_ACCESS_TOKEN`	facebook_scraper (ads mode)	Free, unlimited	facebook.com/ads/library/api

Add your own tool

Tools are auto-discovered — no changes to server.ts needed.

cp -r tools/_template tools/your-tool-name
# Edit tools/your-tool-name/index.ts
bun run server.ts
# [hidrix-tools] ✓ your_tool_name

See docs/adding-a-tool.md for the full guide.

Project structure

hidrix-tools/
├── server.ts                  — MCP server, auto-discovers tools
├── tools/
│   ├── _template/             — Copy this to create a new tool
│   ├── web-search/            — Brave Search
│   ├── web-fetch/             — URL → markdown
│   ├── x-search/              — X/Twitter search (GetXAPI + RapidAPI fallback)
│   ├── x-thread-reader/       — Read X threads & articles
│   ├── x-user-posts/          — User timeline with engagement
│   ├── reddit-search/         — Reddit search (upgraded)
│   ├── reddit-thread-reader/  — Full post + comment tree (free API)
│   ├── reddit-subreddit-top/  — Subreddit top posts (free API)
│   ├── youtube-search/        — YouTube search
│   ├── tiktok-search/         — TikTok search
│   ├── similarweb/            — Traffic analytics
│   ├── facebook-scraper/      — FB groups, pages, search, ads
│   ├── content-scorer/        — Engagement scoring + ranking
│   └── content-analyzer/      — Topic/pattern/trend analysis
├── lib/
│   ├── tool-registry.ts       — Auto-discovery engine
│   ├── rapidapi.ts            — Shared RapidAPI client
│   ├── getxapi.ts             — GetXAPI client (X/Twitter)
│   ├── apify.ts               — Apify REST client
│   ├── meta-ads.ts            — Meta Ad Library API client
│   └── readability.ts         — HTML → markdown extraction
└── docs/
    ├── adding-a-tool.md       — Tool authoring guide
    ├── feedback-and-bug-reporting.md — Bug reporting standards
    ├── known-issues.md        — Tracked limitations
    └── ROADMAP.md             — Development roadmap

Docs

Doc	Description
Adding a tool	How to create a new tool
Feedback & bug reporting	Standards for detecting and reporting issues
Known issues	Tracked provider limitations and quirks
Roadmap	Development roadmap (X upgrade, Reddit upgrade, LinkedIn, extensions)

Tech stack

Technology	Purpose
Bun	Runtime
TypeScript	Language
MCP SDK	Agent protocol
Brave Search	Web search
Mozilla Readability	Content extraction
Apify	Facebook scraping
Meta Ad Library API	Ad intelligence (free)

Contributing

Contributions are welcome. See CONTRIBUTING.md for guidelines.

When reporting bugs, follow docs/feedback-and-bug-reporting.md.

affiliate-skills — 45 AI agent skills
content-pipeline — AI-powered LinkedIn content generation
Kapt — macOS screenshot tool with annotation & OCR
Yap — Push-to-talk dictation for macOS

License

MIT — see LICENSE for details.

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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