MCP server
by hawstein
Integrate with Reddit API to fetch posts, comments, and subreddit data for content curation and analysis.
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.
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.
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.
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.
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
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
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
Share your MCP server with the developer community
We evaluated Reddit against two servers with overlapping tools; this profile had the clearer scope statement.
We wired Reddit into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Reddit has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
I recommend Reddit for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Reddit benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: Reddit surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Useful MCP listing: Reddit is the kind of server we cite when onboarding engineers to host + tool permissions.
Reddit is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: Reddit surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Reddit has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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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>
A demo in Clinde 👇
get_frontpage_posts - Get hot posts from Reddit frontpage
limit (integer): Number of posts to return (default: 10, range: 1-100)get_subreddit_info - Get information about a subreddit
subreddit_name (string): Name of the subreddit (e.g. 'Python', 'news')get_subreddit_hot_posts - Get hot posts from a specific subreddit
subreddit_name (string): Name of the subreddit (e.g. 'Python', 'news')limit (integer): Number of posts to return (default: 10, range: 1-100)get_subreddit_new_posts - Get new posts from a specific subreddit
subreddit_name (string): Name of the subreddit (e.g. 'Python', 'news')limit (integer): Number of posts to return (default: 10, range: 1-100)get_subreddit_top_posts - Get top posts from a specific subreddit
subreddit_name (string): Name of the subreddit (e.g. 'Python', 'news')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
subreddit_name (string): Name of the subreddit (e.g. 'Python', 'news')limit (integer): Number of posts to return (default: 10, range: 1-100)get_post_content - Get detailed content of a specific post
post_id (string): ID of the postcomment_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
post_id (string): ID of the postlimit (integer): Number of comments to return (default: 10, range: 1-100)The easiest way to use MCP Server Reddit is through the Clinde desktop app. Simply download and install Clinde, then:
That's it! No technical knowledge required - Clinde handles all the installation and configuration for you seamlessly.
When using uv no specific installation is needed. We will
use uvx to directly run mcp-server-reddit.
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
To install MCP Server Reddit for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @Hawstein/mcp-server-reddit --client claude
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>
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>
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
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.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ 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.