Add Reddit & X reply publishing to LangChain, CrewAI, AutoGPT, n8n, or any AI agent in minutes. Choose your integration method below.
Pick the integration that fits your agent framework.
Standard HTTP endpoints. Works with any language, framework, or HTTP client.
Model Context Protocol server for Claude, Cursor, and any MCP-compatible agent.
Native Python package. pip install dropreply. Works with LangChain tools and CrewAI.
TypeScript-ready npm package. npm install @dropreply/sdk. Works with any JS agent framework.
Add DropReply to your Claude Desktop or Cursor config. Then just ask Claude to reply to a post.
// Add to your Claude Desktop config { "mcpServers": { "dropreply": { "command": "npx", "args": ["@dropreply/mcp"], "env": { "DROPREPLY_API_KEY": "drpl_live_xxx" } } } } // Then ask Claude: // "Reply to this Reddit post about AI tools with // a helpful comment mentioning our product"
Use DropReply as a tool in your LangChain or custom agent pipeline.
from langchain.tools import tool from dropreply import DropReply client = DropReply("drpl_live_xxx") @tool def reply_on_reddit(url: str, content: str) -> str: """Post a reply on Reddit to the given URL.""" result = client.reply( platform="reddit", target_url=url, content=content, ) return f"Published: {result["id"]}" # Add to your agent's tool list tools = [reply_on_reddit]
from crewai import Agent, Task from dropreply import DropReply from crewai.tools import tool client = DropReply("drpl_live_xxx") @tool("Reddit Reply Tool") def post_reddit_reply(url: str, content: str) -> str: """Post a reply to a Reddit thread.""" result = client.reply( platform="reddit", target_url=url, content=content, ) return result["id"] marketer = Agent( role="Reddit Marketer", tools=[post_reddit_reply], goal="Reply to relevant posts", )
from dropreply import DropReply client = DropReply("drpl_live_xxx") # Publish a reply on Reddit reply = client.reply( platform="reddit", target_url="https://reddit.com/r/SaaS/comments/...", content="We built exactly this. Happy to share...", ) print(reply["id"]) # Publish a reply on X tweet = client.reply( platform="twitter", target_url="https://x.com/user/status/123...", content="Great thread! We found that...", ) print(tweet["id"]) # Upvote a post client.upvote( platform="reddit", target_url="https://reddit.com/r/SaaS/comments/...", )
Your agent generates the content. We handle the hard part: actually publishing it.
Your agent uses our accounts. If one gets banned, we replace it. Your IP, your brand, your identity are never exposed.
No karma farming, no cookie refreshing, no proxy rotation. Your agent makes an API call and gets a published reply.
AI moderation catches hallucinated links, spam patterns, and policy violations before they reach the platform.
Track every reply your agent publishes. Monitor health, view removal reasons, and audit agent behavior from the dashboard.