reddit-mcp-server
Active·★ 37·MIT·Updated 2026-08-24
This is a resilient, open-source Model Context Protocol (MCP) server designed to enable AI models like Claude and Cursor to efficiently search and retrieve content from Reddit. It features robust rate-limiting recovery, intelligent comment filtering, and a zero-config fallback system that ensures data access even without official Reddit API credentials.
#Model Context Protocol (MCP)#Reddit API Integration#LLM Tools#Rate Limiting#Data Filtering#Zero-Config#Python#FastMCP
01
Features
01Works out of the box with zero configuration, leveraging fallback providers if no API keys are present.
02Intelligently switches between official Reddit API and unauthenticated fallback providers to ensure continuous data delivery to LLMs.
03Handles Reddit's rate limits with exponential backoff and automatic retries based on `Retry-After` headers.
04Cleans Reddit thread payloads by removing auto-moderators, bot notifications, and low-quality comments to save LLM token costs.
05Ensures safe API timeouts, returning graceful JSON-RPC fallbacks instead of hanging the AI client.
02
Compatibility
Python
Runtime
Verified via docs
Docker
Containerization
Verified via docs
Claude Desktop
AI Client
Verified via docs
Cursor / OpenCode
AI Client
Verified via docs
03
Quick start
1
$ uvx reddit-mcp-ai
04
Use cases
↳Broad web search for technical explanations and factual discussions across Reddit.
↳Gauge sentiment, upvote consensus, and explore topics by searching discussions with metrics.
↳Deep extraction and filtering of high-quality community opinions from comment trees, removing noise and bots.
↳Identify real-time problems, pain points, or new ideas in a niche by tracking live trending and rising posts.
↳Summarize or triage bookmarked Reddit content from a user's saved posts.
05
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