The Reddit Research MCP Server transforms Reddit into an AI-powered research tool with semantic discovery, efficient data retrieval, and automated content analysis. Key capabilities include:
• Semantic community discovery: Search across 20,000+ indexed Reddit communities to find relevant subreddits based on any topic, going beyond native search limitations • Intelligent batch operations: Fetch posts from up to 15 subreddits simultaneously and retrieve detailed comments, reducing API calls by up to 70% • Automated research & analysis: Built-in AI agent (like Claude Code) conducts end-to-end research, analyzing 100+ posts and comments on complex topics • Professional report generation: Produces comprehensive Markdown reports with full citations, sentiment analysis, and complete traceability back to Reddit sources • Comprehensive search functionality: Reddit-wide search with time filters, content limits, and comment analysis with sorting options • Guided operational flow: Three-layer architecture (Discovery, Requirements, Execution) provides structured guidance for AI models, ensuring correct parameter usage and error prevention
Provides comprehensive access to Reddit content through a three-layer architecture for discovering communities, fetching posts and comments, searching across subreddits, and conducting thorough research and analysis of Reddit discussions.
mcp-name: io.github.king-of-the-grackles/reddit-research-mcp
Turn Reddit's chaos into structured insights with full citations
Your customers are on Reddit right now, comparing you to competitors, sharing pain points, requesting features. But finding those insights means hours of manual searching with no way to cite your sources.
This MCP server turns Reddit into a queryable research database that generates reports with links to every claim. Get comprehensive market research, competitive analysis, and customer insights in minutes instead of hours.
No credentials or configuration needed! Connect to our hosted server:
For other AI assistants: https://reddit-research-mcp.fastmcp.app/mcp
→ Get a comprehensive report comparing sentiment, feature requests, pain points, and migration experiences with links to every mentioned discussion.
→ Discover unmet needs, feature gaps, and pricing concerns directly from your target market with citations to real user feedback.
→ Track adoption trends, concerns, success stories, and emerging use cases with temporal analysis showing how opinions evolved.
→ Identify pain points and validate your solution with evidence from actual discussions, not assumptions.
Built for decision-makers who need evidence-based insights. Every report links back to actual Reddit posts and comments. When you say "users are complaining about X," you'll have the receipts to prove it. Check the /reports folder for examples of deep-research reports with full citation trails.
Zero-friction setup designed for non-technical users. Most MCP servers require cloning repos, managing Python environments, and hunting for API keys in developer dashboards. This one? Just paste the URL into Claude and start researching. Our hosted solution means no terminal commands, no credential management, no setup headaches.
Semantic search across 20,000+ active subreddits. Reddit's API caps at 250 search results - useless for comprehensive research. We pre-indexed every active subreddit (2k+ members, active in last 7 days) with vector embeddings. Now you search conceptually across all of Reddit, finding relevant communities you didn't even know existed. Built with the layered abstraction pattern for scalability.
Some of the AI-generated specs that were used to build this project with Claude Code:
📖 Architecture Overview - System design and component interaction
🤖 Research Agent Details - Agent implementation patterns
🔍 Deep Research Architecture - Research workflow and citation system
🗄️ ChromaDB Proxy Architecture - Vector search and authentication layer
This project uses:
Python 3.11+ with type hints
FastMCP for the server framework
Vector search via authenticated proxy (Render.com)
ChromaDB for semantic search
PRAW for Reddit API interaction
Stop guessing. Start knowing what your market actually thinks.
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables comprehensive Reddit research through a three-layer architecture that discovers relevant communities, provides operation guidance, and executes multi-subreddit content fetching with proper citations. Supports searching, post fetching, comment analysis, and batch operations across multiple subreddits for thorough content analysis.
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