"A server for finding pictures of dogs to post on Reddit r/DOG" matching MCP servers:

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

Enables AI assistants to execute R code, create visualizations, analyze data, and manage packages through a local Rscript CLI.

Enables AI assistants to fetch dog breed data, including descriptions, attributes, and group information, via the Dog API through natural language queries.

Provides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.

A server allowing interaction with Reddit via the public API, enabling browsing frontpage posts, retrieving subreddit details, and reading post comments through a Model Context Protocol.

econ-r-mcp is a local MCP server plus companion skill for reproducible applied econometrics and statistics workflows powered by headless R execution.

Read Reddit post and hot thread

AI-powered Reddit marketing automation via Model Context Protocol, enabling smart search, audience analysis, engagement finding, and comment generation.

Enables interaction with Reddit through the Reddit API, allowing users to search posts, retrieve saved content, fetch comments, reply to comments, and access detailed post information with comment trees.

An MCP server that enables AI assistants to access and interact with Reddit content through features like user analysis, post retrieval, subreddit statistics, and authenticated posting capabilities.

Enables AI models to search, fetch, and read Reddit content with resilient rate-limit handling and smart comment filtering, including zero-config fallback to alternative sources.

Scrapes and queries Reddit posts, comments, and media from subreddits and user profiles without requiring API keys, storing data locally for offline access and filtering.

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.

Provides AI assistants with access to Reddit data for searching, browsing subreddits, and retrieving post details or user activity without requiring API keys. It enables tools to fetch content, nested comment trees, and public user feeds directly through the Model Context Protocol.

FastMCP server for Reddit that enables fetching posts, searching, and retrieving comments using old.reddit.com JSON endpoints. Supports stdio and HTTP transports.

Enables AI assistants to search, browse, and analyze Reddit in real-time via web scraping, including subreddit browsing, post comments, and business opportunity scoring.

Enables browsing and searching Reddit content through read-only tools that access Reddit's official API. Supports searching posts, retrieving subreddit information, fetching hot posts, and getting detailed post information.

An MCP server that provides both read-only and authenticated access to Reddit content and interactions without requiring a developer API key. It enables users to browse posts, search subreddits, and perform write actions like commenting and voting by leveraging browser session cookies.

A plug-and-play MCP server that enables AI assistants to browse, search, and read Reddit content through the PRAW library.

Summarizes a user's Reddit frontpage, subreddits, and post comments, with optional comment analysis and sorting options.