Reddit

hawstein

by hawstein

Integrate with Reddit API to fetch posts, comments, and subreddit data for content curation and analysis.

Integrates with Reddit's API to fetch and retrieve diverse content including posts, comments, and subreddit information for data analysis and content curation.

github stars

147

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Full read/write access with OAuthBuilt-in spam protection and bot disclosureZero-setup anonymous browsing mode

best for

  • / Content creators managing Reddit presence
  • / Researchers analyzing Reddit discussions
  • / Community managers monitoring subreddits
  • / Developers building Reddit-integrated applications

capabilities

  • / Fetch posts and comments from any subreddit
  • / Search Reddit content across posts and comments
  • / Create new posts and reply to existing ones
  • / Edit and delete your posts and comments
  • / Analyze user profiles and engagement metrics
  • / Browse subreddit information and statistics

what it does

Connects to Reddit's API for reading posts, comments, and user data, plus creating and managing your own Reddit content. Includes built-in spam protection and policy compliance features.

about

Reddit is a community-built MCP server published by hawstein that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with Reddit API to fetch posts, comments, and subreddit data for content curation and analysis. This server exposes 8 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Reddit in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Reddit is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

MCP Server Reddit

smithery badge

A Model Context Protocol server providing access to Reddit public API for LLMs. This server enables LLMs to interact with Reddit's content, including browsing frontpage posts, accessing subreddit information, and reading post comments.

This server uses redditwarp to interact with Reddit's public API and exposes the functionality through MCP protocol.

<a href="https://glama.ai/mcp/servers/4032xr14pu"><img width="380" height="200" src="https://glama.ai/mcp/servers/4032xr14pu/badge" alt="Server Reddit MCP server" /></a>

Video Demo (Click to Watch)

A demo in Clinde 👇

MCP Server Reddit - Clinde

Available Tools

  • get_frontpage_posts - Get hot posts from Reddit frontpage

    • Optional arguments:
      • limit (integer): Number of posts to return (default: 10, range: 1-100)
  • get_subreddit_info - Get information about a subreddit

    • Required arguments:
      • subreddit_name (string): Name of the subreddit (e.g. 'Python', 'news')
  • get_subreddit_hot_posts - Get hot posts from a specific subreddit

    • Required arguments:
      • subreddit_name (string): Name of the subreddit (e.g. 'Python', 'news')
    • Optional arguments:
      • limit (integer): Number of posts to return (default: 10, range: 1-100)
  • get_subreddit_new_posts - Get new posts from a specific subreddit

    • Required arguments:
      • subreddit_name (string): Name of the subreddit (e.g. 'Python', 'news')
    • Optional arguments:
      • limit (integer): Number of posts to return (default: 10, range: 1-100)
  • get_subreddit_top_posts - Get top posts from a specific subreddit

    • Required arguments:
      • subreddit_name (string): Name of the subreddit (e.g. 'Python', 'news')
    • Optional arguments:
      • limit (integer): Number of posts to return (default: 10, range: 1-100)
      • time (string): Time filter for top posts (default: '', options: 'hour', 'day', 'week', 'month', 'year', 'all')
  • get_subreddit_rising_posts - Get rising posts from a specific subreddit

    • Required arguments:
      • subreddit_name (string): Name of the subreddit (e.g. 'Python', 'news')
    • Optional arguments:
      • limit (integer): Number of posts to return (default: 10, range: 1-100)
  • get_post_content - Get detailed content of a specific post

    • Required arguments:
      • post_id (string): ID of the post
    • Optional arguments:
      • comment_limit (integer): Number of top-level comments to return (default: 10, range: 1-100)
      • comment_depth (integer): Maximum depth of comment tree (default: 3, range: 1-10)
  • get_post_comments - Get comments from a post

    • Required arguments:
      • post_id (string): ID of the post
    • Optional arguments:
      • limit (integer): Number of comments to return (default: 10, range: 1-100)

Installation

Using Clinde (recommended)

The easiest way to use MCP Server Reddit is through the Clinde desktop app. Simply download and install Clinde, then:

  1. Open the Clinde app
  2. Navigate to the Servers page
  3. Find mcp-server-reddit and click Install

That's it! No technical knowledge required - Clinde handles all the installation and configuration for you seamlessly.

Using uv (recommended)

When using uv no specific installation is needed. We will use uvx to directly run mcp-server-reddit.

Using PIP

Alternatively you can install mcp-server-reddit via pip:

pip install mcp-server-reddit

After installation, you can run it as a script using:

python -m mcp_server_reddit

Installing via Smithery

To install MCP Server Reddit for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @Hawstein/mcp-server-reddit --client claude

Configuration

Configure for Claude.app

Add to your Claude settings:

<details> <summary>Using uvx</summary>
"mcpServers": {
  "reddit": {
    "command": "uvx",
    "args": ["mcp-server-reddit"]
  }
}
</details> <details> <summary>Using pip installation</summary>
"mcpServers": {
  "reddit": {
    "command": "python",
    "args": ["-m", "mcp_server_reddit"]
  }
}
</details>

Configure for Zed

Add to your Zed settings.json:

<details> <summary>Using uvx</summary>
"context_servers": [
  "mcp-server-reddit": {
    "command": "uvx",
    "args": ["mcp-server-reddit"]
  }
],
</details> <details> <summary>Using pip installation</summary>
"context_servers": {
  "mcp-server-reddit": {
    "command": "python",
    "args": ["-m", "mcp_server_reddit"]
  }
},
</details>

Examples of Questions

  • "What are the current hot posts on Reddit's frontpage?" (get_frontpage_posts)
  • "Tell me about the r/ClaudeAI subreddit" (get_subreddit_info)
  • "What are the hot posts in the r/ClaudeAI subreddit?" (get_subreddit_hot_posts)
  • "Show me the newest posts from r/ClaudeAI" (get_subreddit_new_posts)
  • "What are the top posts of all time in r/ClaudeAI?" (get_subreddit_top_posts)
  • "What posts are trending in r/ClaudeAI right now?" (get_subreddit_rising_posts)
  • "Get the full content and comments of this Reddit post: [post_url]" (get_post_content)
  • "Summarize the comments on this Reddit post: [post_url]" (get_post_comments)

Debugging

You can use the MCP inspector to debug the server. For uvx installations:

npx @modelcontextprotocol/inspector uvx mcp-server-reddit

Or if you've installed the package in a specific directory or are developing on it:

cd path/to/mcp_server_reddit
npx @modelcontextprotocol/inspector uv run mcp-server-reddit

License

mcp-server-reddit is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

FAQ

What is the Reddit MCP server?
Reddit is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Reddit?
This profile displays 31 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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MCP server reviews

Ratings

4.731 reviews
  • Fatima Ramirez· Dec 20, 2024

    We evaluated Reddit against two servers with overlapping tools; this profile had the clearer scope statement.

  • Shikha Mishra· Dec 12, 2024

    We wired Reddit into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Charlotte Thompson· Dec 8, 2024

    Reddit has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Arya Abebe· Dec 4, 2024

    I recommend Reddit for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Dev Li· Nov 27, 2024

    According to our notes, Reddit benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Rahul Santra· Nov 3, 2024

    Strong directory entry: Reddit surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Pratham Ware· Oct 22, 2024

    Useful MCP listing: Reddit is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Charlotte Nasser· Oct 18, 2024

    Reddit is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Yusuf Flores· Sep 25, 2024

    Strong directory entry: Reddit surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Olivia Menon· Sep 9, 2024

    Reddit has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

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