mcp-name: io.github.king-of-the-grackles/reddit-research-mcp 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 -
Add this skill
npx mdskills install king-of-the-grackles/reddit-research-mcpWell-documented Reddit research MCP with semantic search, feed management, and clear setup across multiple AI platforms
mcp-name: io.github.king-of-the-grackles/reddit-research-mcp
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.
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.
claude mcp add --scope local --transport http dialog-mcp https://reddit-research-mcp.fastmcp.app/mcp
cursor://anysphere.cursor-deeplink/mcp/install?name=dialog-mcp&config=eyJ1cmwiOiJodHRwczovL3JlZGRpdC1yZXNlYXJjaC1tY3AuZmFzdG1jcC5hcHAvbWNwIn0%3D
codex mcp add dialog-mcp \
npx -y mcp-remote \
https://reddit-research-mcp.fastmcp.app/mcp \
--auth-timeout 120 \
--allow-http \
gemini mcp add dialog-mcp \
npx -y mcp-remote \
https://reddit-research-mcp.fastmcp.app/mcp \
--auth-timeout 120 \
--allow-http
For other AI assistants: https://reddit-research-mcp.fastmcp.app/mcp
"What are developers saying about Next.js vs Remix?"
Get a comprehensive report comparing sentiment, feature requests, pain points, and migration experiences with links to every mentioned discussion.
"Find the top complaints about existing CRM tools in small business communities"
Discover unmet needs, feature gaps, and pricing concerns directly from your target market with citations to real user feedback.
"Analyze sentiment about AI coding assistants across developer communities"
Track adoption trends, concerns, success stories, and emerging use cases with temporal analysis showing how opinions evolved.
"What problems are SaaS founders having with subscription billing?"
Identify pain points and validate your solution with evidence from actual Reddit discussions, not assumptions.
| 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 |
Three-Layer MCP Architecture
Dialog follows the layered abstraction pattern for scalability and self-documentation:
discover_operations()
See what operations are available and get workflow recommendations.
get_operation_schema("discover_subreddits", include_examples=True)
Understand parameter requirements, validation rules, and see examples before executing.
execute_operation("discover_subreddits", {
"query": "machine learning",
"limit": 15,
"min_confidence": 0.6
})
Perform the actual operation with validated parameters.
Reddit Research Operations
Find relevant communities using semantic vector search across 20,000+ indexed subreddits.
Search for posts within a specific subreddit with filters for time range and sort order.
Get posts from a single subreddit by listing type (hot, new, top, rising).
70% more efficient - Batch fetch posts from multiple subreddits concurrently.
Get complete comment trees for deep analysis of discussions.
Feed Management Operations
Feeds let you save research configurations for ongoing monitoring:
Authentication
Dialog uses Descope OAuth2 for secure authentication:
This MCP server is the backend for Dialog, a complete Reddit intelligence platform featuring:
This project uses:
Stop guessing. Start knowing what your market actually thinks.
Install via CLI
npx mdskills install king-of-the-grackles/reddit-research-mcpDialog MCP Server is a free, open-source AI agent skill. mcp-name: io.github.king-of-the-grackles/reddit-research-mcp 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 -
Install Dialog MCP Server with a single command:
npx mdskills install king-of-the-grackles/reddit-research-mcpThis downloads the skill files into your project and your AI agent picks them up automatically.
Dialog MCP Server works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Gemini Cli, Amp, Roo Code, Goose. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.