Reddit 数据访问 MCP 服务器

一个通过模型上下文协议(MCP)为 AI 助手提供 Reddit 数据访问的服务器,支持帖子搜索、Subreddit 浏览、帖子详情和用户动态查询,适用于需要集成 Reddit 数据检索的 AI 应用与开发场景。

  • by eliasbiondo
  • Python
  • 本地部署
  • 162 星标
  • 更新于
在 GitHub 查看 eliasbiondo/reddit-mcp-server

使用说明

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

  1. Features
  2. Quick Start
  3. Available Tools
  4. Configuration
  5. Architecture
  6. Contributing
  7. License

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 8000

2.2. From source

git clone https://github.com/eliasbiondo/reddit-mcp-server.git
cd reddit-mcp-server
uv sync

Run 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 8000

2.3. 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 Search Reddit for posts query, limit, sort {"results": [...]}
search_subreddit Search within a subreddit subreddit, query, limit, sort {"results": [...]}
get_post Get post details + comment tree permalink post object
get_subreddit_posts Get subreddit listing subreddit, limit, category, time_filter {"posts": [...]}
get_user Get user's activity feed username, limit {"items": [...]}
get_user_posts Get user's submitted posts username, limit, category, time_filter {"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, comments

search_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, all

get_user

Get a user's recent public activity (posts and comments).

username: "spez"
limit: 10

get_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, all

4. Configuration

All settings can be configured via environment variables:

Variable Default Description
REDDIT_TRANSPORT stdio MCP transport (stdio, streamable-http)
REDDIT_HOST 127.0.0.1 Host for HTTP transport
REDDIT_PORT 8000 Port for HTTP transport
REDDIT_PATH /mcp Path for HTTP transport
REDDIT_LOG_LEVEL WARNING Log level (DEBUG, INFO, WARNING, ERROR)
REDDIT_PROXY — HTTP/HTTPS proxy URL
REDDIT_TIMEOUT 10.0 Request timeout in seconds
REDDIT_THROTTLE_MIN 1.0 Min delay between paginated requests (seconds)
REDDIT_THROTTLE_MAX 2.0 Max delay between paginated requests (seconds)
REDDIT_CLIENT_ID — Reddit app client ID; enables the OAuth API (see 4.1)
REDDIT_CLIENT_SECRET — Reddit app client secret (required together with REDDIT_CLIENT_ID)
REDDIT_USER_AGENT python:reddit-no-auth-mcp-server:v<version> (...) 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 DEBUG

4.1. 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.

  1. Sign in to Reddit and open https://www.reddit.com/prefs/apps.
  2. Click create another app..., choose script, give it a name, and enter any redirect URI (for example http://localhost:8080; it is not used).
  3. Copy the client ID (the string under the app name) and the secret.
  4. 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_AGENT to identify yourself, e.g. python:my-reddit-mcp:v1.0 (by /u/your_username).
  • An HTTP 401 error 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 root

6. Contributing

Contributions are welcome. Please read CONTRIBUTING.md for guidelines on setting up the project, running tests, and submitting changes.


7. License

MIT