Reddit MCP Server
This server gives AI assistants read-only access to Reddit data such as posts, comments, subreddit listings, searches, and user activity.
Search all of Reddit for posts matching a query.
Search within a specific subreddit.
Get full details of a Reddit post, including its comment tree.
Browse a subreddit’s posts by hot, top, new, or rising listings.
View a Reddit user’s recent public activity, including posts and comments.
Get a Reddit user’s submitted posts with category and time-filter options.
Provides tools for searching Reddit, browsing subreddit posts, retrieving detailed post content with comment trees, and viewing user activity and submitted posts.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Reddit MCP Server Find the top posts from the past week in r/MachineLearning"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Reddit MCP Server
A Model Context Protocol (MCP) server that provides AI assistants with access to Reddit data. Built on top of redd. It works without API keys where Reddit allows anonymous access, and can use optional Reddit OAuth credentials where it doesn't.
https://github.com/user-attachments/assets/af8ae52c-f9f3-4d04-80d5-4be0dfa61b0f
Table of Contents
Related MCP server: Reddit Buddy MCP
1. Features
🔍 Search — Search all of Reddit or within a specific subreddit
📰 Subreddit Posts — Browse hot, top, new, or rising posts from any subreddit
📖 Post Details — Get full post content with nested comment trees
👤 User Activity — View a user's recent posts and comments
📝 User Posts — Get a user's submitted posts
No browser required, and API keys are optional. Reddit now blocks unauthenticated
requests from many networks (you'll see HTTP 403 ... blocked by network security). If that happens to you, add
Reddit API credentials.
2. Quick Start
2.1. Using uvx (recommended)
The fastest way to run the server — no clone needed:
# stdio transport (default, for Claude Desktop / Cursor / etc.)
uvx reddit-no-auth-mcp-server
# HTTP transport
uvx reddit-no-auth-mcp-server \
--transport streamable-http \
--port 80002.2. From source
git clone https://github.com/eliasbiondo/reddit-mcp-server.git
cd reddit-mcp-server
uv syncRun the server:
# stdio transport (default)
uv run reddit-no-auth-mcp-server
# HTTP transport
uv run reddit-no-auth-mcp-server \
--transport streamable-http \
--port 80002.3. MCP Client Configuration
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"reddit": {
"command": "uvx",
"args": ["reddit-no-auth-mcp-server"]
}
}
}Cursor
Add to your .cursor/mcp.json:
{
"mcpServers": {
"reddit": {
"command": "uvx",
"args": ["reddit-no-auth-mcp-server"]
}
}
}From source (any MCP client)
{
"mcpServers": {
"reddit": {
"command": "uv",
"args": [
"--directory", "/path/to/reddit-mcp-server",
"run", "reddit-no-auth-mcp-server"
]
}
}
}3. Available Tools
Tool | Description | Key Arguments | Returns |
| Search Reddit for posts |
|
|
| Search within a subreddit |
|
|
| Get post details + comment tree |
| post object |
| Get subreddit listing |
|
|
| Get user's activity feed |
|
|
| Get user's submitted posts |
|
|
Every tool returns a JSON object (never a bare array) that matches its advertised
outputSchema, so MCP-to-OpenAPI bridges such as
mcpo / Open WebUI can validate the response.
Tool Details
search
Search all of Reddit for posts matching a query.
query: "python async programming"
limit: 10
sort: "relevance" # relevance, hot, top, new, commentssearch_subreddit
Search within a specific subreddit.
subreddit: "Python"
query: "web scraping"
limit: 10
sort: "top"get_post
Get full details of a Reddit post including its comment tree.
permalink: "/r/Python/comments/abc123/my_post/"get_subreddit_posts
Get posts from a subreddit listing.
subreddit: "MachineLearning"
limit: 25
category: "hot" # hot, top, new, rising
time_filter: "week" # hour, day, week, month, year, allget_user
Get a user's recent public activity (posts and comments).
username: "spez"
limit: 10get_user_posts
Get a user's submitted posts.
username: "spez"
limit: 10
category: "top" # hot, top, new
time_filter: "all" # hour, day, week, month, year, all4. Configuration
All settings can be configured via environment variables:
Variable | Default | Description |
|
| MCP transport ( |
|
| Host for HTTP transport |
|
| Port for HTTP transport |
|
| Path for HTTP transport |
|
| Log level ( |
| — | HTTP/HTTPS proxy URL |
|
| Request timeout in seconds |
|
| Min delay between paginated requests (seconds) |
|
| Max delay between paginated requests (seconds) |
| — | Reddit app client ID; enables the OAuth API (see 4.1) |
| — | Reddit app client secret (required together with |
|
| User-Agent for OAuth API requests |
CLI arguments take precedence over environment variables:
uv run reddit-no-auth-mcp-server \
--transport streamable-http \
--port 9000 \
--log-level DEBUG4.1. Reddit API credentials (optional)
By default the server makes anonymous requests to www.reddit.com, the same
JSON endpoints a browser uses. Reddit blocks those from many networks: every tool
then fails with HTTP 403: You've been blocked by network security. In that case,
use Reddit's official OAuth API with app-only ("userless") credentials. No Reddit
account login is involved; the server only reads public data.
Sign in to Reddit and open https://www.reddit.com/prefs/apps.
Click create another app..., choose script, give it a name, and enter any redirect URI (for example
http://localhost:8080; it is not used).Copy the client ID (the string under the app name) and the secret.
Pass them to the server as environment variables:
{
"mcpServers": {
"reddit": {
"command": "uvx",
"args": ["reddit-no-auth-mcp-server"],
"env": {
"REDDIT_CLIENT_ID": "your-client-id",
"REDDIT_CLIENT_SECRET": "your-client-secret"
}
}
}
}With both variables set, the server gets an access token using the
client_credentials grant, refreshes it automatically, and sends all requests
to https://oauth.reddit.com. Leave both unset to keep anonymous access. Setting
only one of them is an error.
Notes:
Reddit's API rules apply, including its OAuth rate limits (about 100 requests per minute per client). Depending on Reddit's current policy, a new app may need approval before its credentials work.
Reddit asks API clients to send a descriptive User-Agent. Set
REDDIT_USER_AGENTto identify yourself, e.g.python:my-reddit-mcp:v1.0 (by /u/your_username).An
HTTP 401error or "OAuth authentication failed" means the client ID or secret is wrong.
4.2. stdio and the FastMCP banner
With the default stdio transport, the server turns off FastMCP's startup
banner, so the only output is JSON-RPC on stdout and logs on stderr. Some MCP
clients (notably on Windows) misbehave when the banner's box-drawing art shows up
on stderr. For the HTTP transport the banner is still shown; set
FASTMCP_SHOW_SERVER_BANNER=false to hide it there too.
5. Architecture
This project follows hexagonal architecture (ports & adapters):
src/reddit_mcp_server/
├── domain/ # Pure business logic, no framework imports
│ ├── exceptions.py # Domain exception hierarchy
│ └── value_objects.py # Immutable config objects
├── ports/ # Abstract interfaces (contracts)
│ ├── config.py # ConfigPort
│ └── reddit.py # RedditPort
├── application/ # Use cases (orchestration)
│ ├── search.py
│ ├── search_subreddit.py
│ ├── get_post.py
│ ├── get_user.py
│ ├── get_subreddit_posts.py
│ └── get_user_posts.py
├── adapters/
│ ├── inbound/ # Presentation layer
│ │ ├── cli.py # CLI entry point
│ │ ├── mcp_server.py
│ │ ├── error_mapping.py
│ │ ├── serialization.py
│ │ └── mcp_tools/ # MCP tool definitions
│ └── outbound/ # Infrastructure layer
│ ├── env_config.py # ConfigPort implementation
│ └── redd_client.py # RedditPort implementation (wraps redd)
└── container.py # DI composition root6. Contributing
Contributions are welcome. Please read CONTRIBUTING.md for guidelines on setting up the project, running tests, and submitting changes.
7. License
Available Tools
6 toolsreddit_get_postB
Get full details of a Reddit post including its comment tree.
Args: permalink: Reddit permalink path (e.g., '/r/Python/comments/abc123/my_post/')
Inputs: permalink (required). Returns: object
reddit_get_subreddit_postsA
Get posts from a subreddit listing.
Args: subreddit: Subreddit name without r/ prefix (e.g., 'Python', 'news') limit: Maximum number of posts (default: 25, max: 100) category: Listing category (hot, top, new, rising). Default: hot time_filter: Time window for top listings (hour, day, week, month, year, all). Default: all
Returns: An object with a 'posts' array.
Inputs: subreddit (required), limit, category, time_filter. Returns: Tool response for listings of posts (subreddit or user submissions).
reddit_get_userA
Get a Reddit user's recent public activity (posts and comments).
Args: username: Reddit username without u/ prefix (e.g., 'spez', 'GallowBoob') limit: Maximum number of activity items (default: 25, max: 100)
Returns: An object with an 'items' array of posts and comments.
Inputs: username (required), limit. Returns: Tool response for a user's activity feed (posts and comments).
reddit_get_user_postsA
Get a Reddit user's submitted posts.
Args: username: Reddit username without u/ prefix (e.g., 'spez') limit: Maximum number of posts (default: 25, max: 100) category: Listing category (hot, top, new). Default: new time_filter: Time window for top listings (hour, day, week, month, year, all). Default: all
Returns: An object with a 'posts' array.
Inputs: username (required), limit, category, time_filter. Returns: Tool response for listings of posts (subreddit or user submissions).
reddit_searchA
Search all of Reddit for posts matching a query.
Args: query: Search keywords (e.g., 'python web scraping', 'machine learning') limit: Maximum number of results to return (default: 25, max: 100) sort: Sort order for results (relevance, hot, top, new, comments)
Returns: An object with a 'results' array.
Inputs: query (required), sort, limit. Returns: Tool response for search queries.
reddit_search_subredditA
Search within a specific subreddit.
Args: subreddit: Subreddit name without r/ prefix (e.g., 'Python', 'MachineLearning') query: Search keywords limit: Maximum number of results to return (default: 25, max: 100) sort: Sort order for results (relevance, hot, top, new, comments)
Returns: An object with a 'results' array.
Inputs: query (required), subreddit (required), sort, limit. Returns: Tool response for search queries.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 6 tools
Most tools are clearly distinct by resource+action (get_post, get_subreddit_posts, search, get_user). The only real overlap is reddit_get_user vs reddit_get_user_posts, where the former returns mixed posts+comments and the latter only submissions; descriptions clarify this but an agent could still misselect when it just wants a user's posts. search vs search_subreddit is well delineated by the subreddit parameter.
All six tools follow a consistent snake_case `reddit_<verb>_<object>` pattern with a uniform server prefix. The verb mix (get/search) is semantically meaningful rather than arbitrary, and qualifiers like _subreddit/_posts/_user_posts read predictably.
Six tools is well-scoped for a read-only Reddit reader: fetching posts, comment trees, searches, and user activity. Each tool maps to a distinct access pattern and none feels redundant padding.
Core read workflows (post detail with comments, subreddit listings, global and scoped search, user activity) are covered. Minor gaps remain: no subreddit metadata/about endpoint, no dedicated user-comments-only retrieval, and no pagination/cursor beyond limits, but agents can work around these via existing tools.
Maintenance
Related MCP Connectors
Query Reddit communities, posts, brands and trends from your AI agent. OAuth 2.1.
Read-only Reddit search API for AI agents: posts, comments, comment trees, subreddit rules.
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Search public Reddit posts, browse subreddit feeds, and read posts, comments, and profiles.
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