Which integrations are available for this server?

Enables batch web search across up to 100 keywords in parallel using [Google](/mcp/servers/integrations/google) search via the Serper API, with support for search operators and CTR-weighted ranking to identify authoritative sources. Supports [OpenAI](/mcp/servers/integrations/openai) models through OpenRouter for AI-powered deep research synthesis and intelligent content extraction from scraped web pages. Supports [Perplexity](/mcp/servers/integrations/perplexity)'s sonar-deep-research model through OpenRouter as the default model for conducting comprehensive AI-powered research with web search and citations. Provides tools for searching [Reddit](/mcp/servers/integrations/reddit) discussions via Google, fetching posts with comments using the Reddit OAuth API, and smart comment allocation across multiple posts with upvote-based sorting.

Research Powerpack MCP by yigitkonur

⚡ Get Started • ✨ Key Features • 🎮 Usage & Examples • ⚙️ API Key Setup • 🆚 Why This Slaps

research-powerpack-mcp is the research assistant your AI wishes it had. Stop asking your LLM to guess about things it doesn't know. This MCP server acts like a senior researcher, searching the web, mining Reddit discussions, scraping documentation, and synthesizing everything into perfectly structured context so your AI can actually give you answers worth a damn.

How it slaps:

You: "What's the best database for my use case?"
AI + Powerpack: Searches Google, mines Reddit threads, scrapes docs, synthesizes findings.
You: Get an actually informed answer with real community opinions and citations.
Result: Ship better decisions. Skip the 47 browser tabs.

💥 Why This Slaps Other Methods

Manually researching is a vibe-killer. research-powerpack-mcp makes other methods look ancient.

We're not just fetching random pages. We're building high-signal, low-noise context with CTR-weighted ranking, smart comment allocation, and intelligent token distribution that prevents massive responses from breaking your LLM's context window.

🚀 Get Started in 60 Seconds

1. Install

npm install research-powerpack-mcp

2. Configure Your MCP Client

Client	Config File	Docs
🖥️ Claude Desktop	`claude_desktop_config.json`	Setup
⌨️ Claude Code	`~/.claude.json` or CLI	Setup
🎯 Cursor	`.cursor/mcp.json`	Setup
🏄 Windsurf	MCP settings	Setup

Claude Desktop

Add to your claude_desktop_config.json:

{ "mcpServers": { "research-powerpack": { "command": "npx", "args": ["research-powerpack-mcp"], "env": { "SERPER_API_KEY": "your_key", "REDDIT_CLIENT_ID": "your_id", "REDDIT_CLIENT_SECRET": "your_secret", "SCRAPEDO_API_KEY": "your_key", "OPENROUTER_API_KEY": "your_key" } } } }

Claude Code (CLI)

One command to rule them all:

claude mcp add research-powerpack npx \ --scope user \ --env SERPER_API_KEY=your_key \ --env REDDIT_CLIENT_ID=your_id \ --env REDDIT_CLIENT_SECRET=your_secret \ --env OPENROUTER_API_KEY=your_key \ --env OPENROUTER_BASE_URL=https://openrouter.ai/api/v1 \ --env RESEARCH_MODEL=x-ai/grok-4.1-fast \ -- research-powerpack-mcp

Or manually add to ~/.claude.json:

{ "mcpServers": { "research-powerpack": { "command": "npx", "args": ["research-powerpack-mcp"], "env": { "SERPER_API_KEY": "your_key", "REDDIT_CLIENT_ID": "your_id", "REDDIT_CLIENT_SECRET": "your_secret", "OPENROUTER_API_KEY": "your_key", "OPENROUTER_BASE_URL": "https://openrouter.ai/api/v1", "RESEARCH_MODEL": "x-ai/grok-4.1-fast" } } } }

Cursor/Windsurf

Add to .cursor/mcp.json or equivalent:

{ "mcpServers": { "research-powerpack": { "command": "npx", "args": ["research-powerpack-mcp"], "env": { "SERPER_API_KEY": "your_key" } } } }

✨ Zero Crash Promise: Missing API keys? No problem. The server always starts. Tools just return helpful setup instructions instead of exploding.

✨ Feature Breakdown: The Secret Sauce

Feature	What It Does	Why You Care
🔍 Batch Search `100 keywords parallel`	Search Google for up to 100 queries simultaneously	Cover every angle of a topic in one shot
📊 CTR Ranking `Smart URL scoring`	Identifies URLs that appear across multiple searches	Surfaces high-consensus authoritative sources
💬 Reddit Mining `Real human opinions`	Google-powered Reddit search + native API fetching	Get actual user experiences, not marketing fluff
🎯 Smart Allocation `Token-aware budgets`	1,000 comment budget distributed across posts	Deep dive on 2 posts or quick scan on 50
🌐 Universal Scraping `Works on everything`	Auto-fallback: basic → JS render → geo-targeting	Handles SPAs, paywalls, and geo-restricted content
🧠 Deep Research `AI-powered synthesis`	Batch research with web search and citations	Get comprehensive answers to complex questions
🧩 Modular Design `Use what you need`	Each tool works independently	Pay only for the APIs you actually use

🎮 Tool Reference

`web_search`

Batch web search using Google via Serper API. Search up to 100 keywords in parallel.

Parameter	Type	Required	Description
`keywords`	`string[]`	Yes	Search queries (1-100). Use distinct keywords for maximum coverage.

Supports Google operators: site:, -exclusion, "exact phrase", filetype:

{ "keywords": [ "best IDE 2025", "VS Code alternatives", "Cursor vs Windsurf comparison" ] }

`search_reddit`

Search Reddit via Google with automatic site:reddit.com filtering.

Parameter	Type	Required	Description
`queries`	`string[]`	Yes	Search queries (max 10)
`date_after`	`string`	No	Filter results after date (YYYY-MM-DD)

Search operators: intitle:keyword, "exact phrase", OR, -exclude

{ "queries": [ "best mechanical keyboard 2025", "intitle:keyboard recommendation" ], "date_after": "2024-01-01" }

`get_reddit_post`

Fetch Reddit posts with smart comment allocation (1,000 comment budget distributed automatically).

Parameter	Type	Required	Default	Description
`urls`	`string[]`	Yes	—	Reddit post URLs (2-50)
`fetch_comments`	`boolean`	No	`true`	Whether to fetch comments
`max_comments`	`number`	No	auto	Override comment allocation

Smart Allocation:

2 posts → ~500 comments/post (deep dive)
10 posts → ~100 comments/post
50 posts → ~20 comments/post (quick scan)

{ "urls": [ "https://reddit.com/r/programming/comments/abc123/post_title", "https://reddit.com/r/webdev/comments/def456/another_post" ] }

`scrape_links`

Universal URL content extraction with automatic fallback modes.

Parameter	Type	Required	Default	Description
`urls`	`string[]`	Yes	—	URLs to scrape (3-50)
`timeout`	`number`	No	`30`	Timeout per URL (seconds)
`use_llm`	`boolean`	No	`false`	Enable AI extraction
`what_to_extract`	`string`	No	—	Extraction instructions for AI

Automatic Fallback: Basic → JS rendering → JS + US geo-targeting

{ "urls": ["https://example.com/article1", "https://example.com/article2"], "use_llm": true, "what_to_extract": "Extract the main arguments and key statistics" }

`deep_research`

AI-powered batch research with web search and citations.

Parameter	Type	Required	Description
`questions`	`object[]`	Yes	Research questions (2-10)
`questions[].question`	`string`	Yes	The research question
`questions[].file_attachments`	`object[]`	No	Files to include as context

Token Allocation: 32,000 tokens distributed across questions:

2 questions → 16,000 tokens/question (deep dive)
10 questions → 3,200 tokens/question (rapid multi-topic)

{ "questions": [ { "question": "What are the current best practices for React Server Components in 2025?" }, { "question": "Compare Bun vs Node.js for production workloads with benchmarks." } ] }

⚙️ Environment Variables & Tool Availability

Research Powerpack uses a modular architecture. Tools are automatically enabled based on which API keys you provide:

ENV Variable	Tools Enabled	Free Tier
`SERPER_API_KEY`	`web_search`, `search_reddit`	2,500 queries/mo
`REDDIT_CLIENT_ID` + `SECRET`	`get_reddit_post`	Unlimited
`SCRAPEDO_API_KEY`	`scrape_links`	1,000 credits/mo
`OPENROUTER_API_KEY`	`deep_research` + AI in `scrape_links`	Pay-as-you-go
`RESEARCH_MODEL`	Model for `deep_research`	Default: `perplexity/sonar-deep-research`
`LLM_EXTRACTION_MODEL`	Model for AI extraction in `scrape_links`	Default: `openrouter/gpt-oss-120b:nitro`

Configuration Examples

# Search-only mode (just web_search and search_reddit) SERPER_API_KEY=xxx # Reddit research mode (search + fetch posts) SERPER_API_KEY=xxx REDDIT_CLIENT_ID=xxx REDDIT_CLIENT_SECRET=xxx # Full research mode (all 5 tools) SERPER_API_KEY=xxx REDDIT_CLIENT_ID=xxx REDDIT_CLIENT_SECRET=xxx SCRAPEDO_API_KEY=xxx OPENROUTER_API_KEY=xxx

🔑 API Key Setup Guides

What you get

Fast Google search results via API
Enables web_search and search_reddit tools

Setup Steps

Go to serper.dev
Click "Get API Key" (top right)
Sign up with email or Google
Copy your API key from the dashboard
Add to your config:
SERPER_API_KEY=your_key_here

Pricing

Free: 2,500 queries/month
Paid: $50/month for 50,000 queries

What you get

Full Reddit API access
Fetch posts and comments with upvote sorting
Enables get_reddit_post tool

Setup Steps

Go to reddit.com/prefs/apps
Scroll down and click "create another app..."
Fill in:
- Name: research-powerpack (or any name)
- App type: Select "script" (important!)
- Redirect URI: http://localhost:8080
Click "create app"
Copy your credentials:
- Client ID: The string under your app name
- Client Secret: The "secret" field
Add to your config:
REDDIT_CLIENT_ID=your_client_id REDDIT_CLIENT_SECRET=your_client_secret

What you get

JavaScript rendering support
Geo-targeting and CAPTCHA handling
Enables scrape_links tool

Setup Steps

Go to scrape.do
Click "Start Free"
Sign up with email
Copy your API key from the dashboard
Add to your config:
SCRAPEDO_API_KEY=your_key_here

Credit Usage

Basic scrape: 1 credit
JavaScript rendering: 5 credits
Geo-targeting: +25 credits

What you get

Access to 100+ AI models via one API
Enables deep_research tool
Enables AI extraction in scrape_links

Setup Steps

Go to openrouter.ai
Sign up with Google/GitHub/email
Go to openrouter.ai/keys
Click "Create Key"
Copy the key (starts with sk-or-...)
Add to your config:
OPENROUTER_API_KEY=sk-or-v1-xxxxx

Recommended Models for Deep Research

# Default (optimized for research) RESEARCH_MODEL=perplexity/sonar-deep-research # Fast and capable RESEARCH_MODEL=x-ai/grok-4.1-fast # High quality RESEARCH_MODEL=anthropic/claude-3.5-sonnet # Budget-friendly RESEARCH_MODEL=openai/gpt-4o-mini

Recommended Models for AI Extraction (`use_llm` in `scrape_links`)

# Default (fast and cost-effective for extraction) LLM_EXTRACTION_MODEL=openrouter/gpt-oss-120b:nitro # High quality extraction LLM_EXTRACTION_MODEL=anthropic/claude-3.5-sonnet # Budget-friendly LLM_EXTRACTION_MODEL=openai/gpt-4o-mini

Note: RESEARCH_MODEL and LLM_EXTRACTION_MODEL are independent. You can use a powerful model for deep research and a faster/cheaper model for content extraction, or vice versa.

🔥 Recommended Workflows

Research a Technology Decision

1. web_search → ["React vs Vue 2025", "Next.js vs Nuxt comparison"] 2. search_reddit → ["best frontend framework 2025", "Next.js production experience"] 3. get_reddit_post → [URLs from step 2] 4. scrape_links → [Documentation and blog URLs from step 1] 5. deep_research → [Synthesize findings into specific questions]

Competitive Analysis

1. web_search → ["competitor name review", "competitor vs alternatives"] 2. scrape_links → [Competitor websites, review sites] 3. search_reddit → ["competitor name experience", "switching from competitor"] 4. get_reddit_post → [URLs from step 3]

Debug an Obscure Error

1. web_search → ["exact error message", "error + framework name"] 2. search_reddit → ["error message", "framework + error type"] 3. get_reddit_post → [URLs with solutions] 4. scrape_links → [Stack Overflow answers, GitHub issues]

🔥 Enable Full Power Mode

For the best research experience, configure all four API keys:

SERPER_API_KEY=your_serper_key # Free: 2,500 queries/month REDDIT_CLIENT_ID=your_reddit_id # Free: Unlimited REDDIT_CLIENT_SECRET=your_reddit_secret SCRAPEDO_API_KEY=your_scrapedo_key # Free: 1,000 credits/month OPENROUTER_API_KEY=your_openrouter_key # Pay-as-you-go

This unlocks:

5 research tools working together
AI-powered content extraction in scrape_links
Deep research with web search and citations
Complete Reddit mining (search → fetch → analyze)

Total setup time: ~10 minutes. Total free tier value: ~$50/month equivalent.

🛠️ Development

# Clone git clone https://github.com/yigitkonur/research-powerpack-mcp.git cd research-powerpack-mcp # Install npm install # Development npm run dev # Build npm run build # Type check npm run typecheck

🔥 Common Issues & Quick Fixes

Problem	Solution
Tool returns "API key not configured"	Add the required ENV variable to your MCP config. The error message tells you exactly which key is missing.
Reddit posts returning empty	Check your `REDDIT_CLIENT_ID` and `REDDIT_CLIENT_SECRET`. Make sure you created a "script" type app.
Scraping fails on JavaScript sites	This is expected for first attempt. The tool auto-retries with JS rendering. If still failing, the site may be blocking scrapers.
Deep research taking too long	Use a faster model like `x-ai/grok-4.1-fast` instead of `perplexity/sonar-deep-research`.
Token limit errors	Reduce the number of URLs/questions per request. The tool distributes a fixed token budget.

Built with 🔥 because manually researching for your AI is a soul-crushing waste of time.

🧭 Quick Navigation

💥 Why This Slaps Other Methods

🚀 Get Started in 60 Seconds

1. Install

2. Configure Your MCP Client

Claude Desktop

Claude Code (CLI)

Cursor/Windsurf

✨ Feature Breakdown: The Secret Sauce

🎮 Tool Reference

web_search

search_reddit

get_reddit_post

scrape_links

deep_research

⚙️ Environment Variables & Tool Availability

Configuration Examples

🔑 API Key Setup Guides

What you get

Setup Steps

Pricing

What you get

Setup Steps

What you get

Setup Steps

Credit Usage

What you get

Setup Steps

Recommended Models for Deep Research

Recommended Models for AI Extraction (use_llm in scrape_links)

🔥 Recommended Workflows

Research a Technology Decision

Competitive Analysis

Debug an Obscure Error

🔥 Enable Full Power Mode

🛠️ Development

🔥 Common Issues & Quick Fixes

Resources

New MCP Servers

Latest Blog Posts

MCP directory API

`web_search`

`search_reddit`

`get_reddit_post`

`scrape_links`

`deep_research`

Recommended Models for AI Extraction (`use_llm` in `scrape_links`)