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
Dialog MCP Server
AI-Powered Reddit Intelligence for Market Research & Competitive Analysis
Version: 1.0.0
Turn Reddit's chaos into actionable insights. Dialog is your all-in-one Reddit intelligence platform for competitive analysis, market research, and customer discovery across 20,000+ active subreddits.
This is the official MCP server powering Dialog - the AI-powered Reddit research platform built for indie hackers, SaaS founders, product managers, and market researchers.
Why Dialog?
Evidence-based insights with full citations. Every finding links back to real Reddit posts and comments with upvote counts, awards, and direct URLs. When you say "users are complaining about X," you'll have the receipts to prove it.
Zero-friction setup. No Reddit API credentials needed. No terminal commands. No credential management. Just connect and start researching.
Semantic search at scale. Reddit's API caps at 250 search results. Dialog searches conceptually across 20,000+ indexed subreddits using vector embeddings, finding relevant communities you didn't know existed.
Persistent research management. Save subreddit collections into feeds for ongoing monitoring. Perfect for long-term competitive analysis and market research campaigns.
Related MCP server: Academic Paper Search MCP Server
Quick Setup (60 Seconds)
Claude Code
Cursor
OpenAI Codex CLI
Gemini CLI
Direct MCP Server URL
For other AI assistants: https://reddit-research-mcp.fastmcp.app/mcp
What You Can Do
Competitive Analysis
Get a comprehensive report comparing sentiment, feature requests, pain points, and migration experiences with links to every mentioned discussion.
Customer Discovery
Discover unmet needs, feature gaps, and pricing concerns directly from your target market with citations to real user feedback.
Market Research
Track adoption trends, concerns, success stories, and emerging use cases with temporal analysis showing how opinions evolved.
Product Validation
Identify pain points and validate your solution with evidence from actual Reddit discussions, not assumptions.
Server Capabilities
Category | Count | Description |
MCP Tools | 3 | discover_operations, get_operation_schema, execute_operation |
Reddit Operations | 5 | discover, search, fetch_posts, fetch_multiple, fetch_comments |
Feed Operations | 5 | create, list, get, update, delete |
Indexed Subreddits | 20,000+ | Active communities (2k+ members, updated weekly) |
MCP Prompts | 1 | reddit_research for automated workflows |
Resources | 1 | reddit://server-info for documentation |
Use Cases by Role
For Indie Hackers & SaaS Founders
Validate product ideas before building
Find communities where your target customers hang out
Monitor competitor mentions and sentiment
Discover unmet needs in your niche
For Product Managers
Gather customer feedback at scale
Track feature requests across communities
Understand competitive landscape
Identify emerging trends before they peak
For Market Researchers
Conduct sentiment analysis with full citations
Build audience personas from real discussions
Track how opinions evolve over time
Generate evidence-based reports
Technical Details
Dialog follows the layered abstraction pattern for scalability and self-documentation:
Layer 1: Discovery
See what operations are available and get workflow recommendations.
Layer 2: Schema Inspection
Understand parameter requirements, validation rules, and see examples before executing.
Layer 3: Execution
Perform the actual operation with validated parameters.
discover_subreddits
Find relevant communities using semantic vector search across 20,000+ indexed subreddits.
search_subreddit
Search for posts within a specific subreddit with filters for time range and sort order.
fetch_posts
Get posts from a single subreddit by listing type (hot, new, top, rising).
fetch_multiple
70% more efficient - Batch fetch posts from multiple subreddits concurrently.
fetch_comments
Get complete comment trees for deep analysis of discussions.
Feeds let you save research configurations for ongoing monitoring:
create_feed - Save discovered subreddits with analysis and metadata
list_feeds - View all your saved feeds with pagination
get_feed - Retrieve a specific feed by ID
update_feed - Modify feed name, subreddits, or analysis
delete_feed - Remove a feed permanently
Dialog uses Descope OAuth2 for secure authentication:
Setup: No Reddit credentials needed - server handles authentication
Token: Automatically managed by your MCP client
Privacy: Only accesses public Reddit data
First use: Authentication takes ~30 seconds, then you're set
The Dialog Platform
This MCP server is the backend for Dialog, a complete Reddit intelligence platform featuring:
Chat Interface - Natural language research powered by Claude AI
Feed Management - Create and manage curated subreddit collections
Consolidated Views - See hot posts from all your tracked subreddits in one place
Cross-Device Sync - Chat history and feeds sync across devices
Visual Analytics - Sentiment gauges, trend charts, and engagement metrics
Contributing
This project uses:
Python 3.11+ with type hints
FastMCP for the server framework
ChromaDB for semantic search
PRAW for Reddit API interaction
Stop guessing. Start knowing what your market actually thinks.