# Reddit MCP Server (`nyxar_dev/reddit-mcp`) Actor Read subreddit posts, comments, and search Reddit via MCP. Access any public subreddit, get trending discussions, and search across all of Reddit. - **URL**: https://apify.com/nyxar\_dev/reddit-mcp.md - **Developed by:** [Nyxar Dev](https://apify.com/nyxar_dev) (community) - **Categories:** AI, Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Reddit MCP Server An Apify Actor that provides a Model Context Protocol (MCP) server for reading Reddit. Browse subreddit posts, read comment threads, and search across all of Reddit -- no API keys or authentication required. ### What does it do? This MCP server exposes Reddit's public data to any MCP-compatible client. It uses Reddit's public JSON API under the hood, so there is no OAuth setup, no API keys, and no rate-limit configuration needed on your part. With this server you can: - Browse posts from any public subreddit sorted by hot, new, or top - Read the comment thread of any post - Search Reddit globally or within a specific subreddit ### Why use it? - **Zero configuration** -- no Reddit API credentials required - **Works with any MCP client** -- any MCP-compatible tool or IDE integration - **Pay-per-use pricing** -- only $0.03 per tool call, no subscription - **Always up to date** -- queries Reddit in real time, so results are never stale - **Hosted on Apify** -- no infrastructure to manage ### How to use #### MCP client setup Add the following to your MCP client configuration file: ```json { "mcpServers": { "reddit-mcp": { "type": "url", "url": "https://nyxar_dev--reddit-mcp.apify.actor/mcp" } } } ```` #### Other MCP clients Point any MCP-compatible client at the endpoint: ``` https://nyxar_dev--reddit-mcp.apify.actor/mcp ``` The server accepts HTTP POST requests with JSON-RPC payloads as defined by the MCP specification. ### Tools #### get\_subreddit\_posts Get posts from a subreddit. | Parameter | Type | Required | Default | Description | |-----------|--------|----------|---------|---------------------------------------| | subreddit | string | yes | -- | Subreddit name (without r/ prefix) | | sort | enum | no | hot | Sort order: `hot`, `new`, or `top` | | limit | number | no | 10 | Number of posts to return (max 25) | #### get\_post\_comments Get comments for a specific Reddit post. | Parameter | Type | Required | Default | Description | |-----------|--------|----------|---------|--------------------------------------------------------------| | permalink | string | yes | -- | Post permalink (e.g. `/r/programming/comments/abc123/title/`) | | limit | number | no | 10 | Number of comments to return | #### search\_reddit Search across Reddit. | Parameter | Type | Required | Default | Description | |-----------|--------|----------|-----------|--------------------------------------------| | query | string | yes | -- | Search query | | subreddit | string | no | -- | Restrict search to a specific subreddit | | sort | enum | no | relevance | Sort order: `relevance`, `top`, or `new` | | limit | number | no | 10 | Number of results to return (max 25) | ### Output examples #### get\_subreddit\_posts ```json [ { "title": "Show HN: I built a tool that...", "author": "dev_username", "score": 1542, "num_comments": 203, "url": "https://example.com/project", "selftext": "I've been working on this project for the past few months...", "permalink": "/r/programming/comments/1abc123/show_hn_i_built_a_tool_that/" } ] ``` #### get\_post\_comments ```json [ { "author": "commenter42", "score": 87, "body": "This is really impressive. Have you considered adding support for..." } ] ``` #### search\_reddit ```json [ { "title": "The state of AI in 2026", "author": "ai_researcher", "score": 3201, "num_comments": 891, "url": "https://blog.example.com/ai-2026", "selftext": "", "permalink": "/r/artificial/comments/1xyz789/the_state_of_ai_in_2026/" } ] ``` ### Pricing This Actor uses a pay-per-event pricing model. Each tool call costs **$0.03 USD**. ### License ISC # Actor input Schema ## Actor input object example ```json {} ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("nyxar_dev/reddit-mcp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("nyxar_dev/reddit-mcp").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call nyxar_dev/reddit-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nyxar_dev/reddit-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit MCP Server", "description": "Read subreddit posts, comments, and search Reddit via MCP. Access any public subreddit, get trending discussions, and search across all of Reddit.", "version": "1.0", "x-build-id": "UHgcWoOBAKKedLAjw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nyxar_dev~reddit-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nyxar_dev-reddit-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nyxar_dev~reddit-mcp/runs": { "post": { "operationId": "runs-sync-nyxar_dev-reddit-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nyxar_dev~reddit-mcp/run-sync": { "post": { "operationId": "run-sync-nyxar_dev-reddit-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": {} }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```