Give your AI assistant the ability to publish replies on Reddit and X. Works with Claude Desktop, Claude Code, Cursor, and any MCP-compatible client.
One JSON block in your MCP configuration file. Works with any MCP-compatible AI client.
{ "mcpServers": { "dropreply": { "command": "npx", "args": ["@dropreply/mcp"], "env": { "DROPREPLY_API_KEY": "drpl_live_your_api_key" } } } }
{ "mcpServers": { "dropreply": { "command": "npx", "args": ["@dropreply/mcp"], "env": { "DROPREPLY_API_KEY": "drpl_live_your_api_key" } } } }
No API calls to write. Your AI agent handles the DropReply tools automatically.
publish_reply to post a reply. The reply is now being published with ID rpl_7f3a9b2c. It should be live on Reddit within 30 seconds. Would you like me to check the status?published and live. Here is the direct link: https://reddit.com/r/SaaS/comments/abc123/.../def456. It was posted from an account with 12,400 karma. Would you like me to also send some upvotes?The MCP server exposes these tools to your AI agent automatically.
Publish a reply to a Reddit thread or X post. Specify the platform, target URL, and reply content. Returns a reply ID for tracking.
Check the current status of a published reply by ID. Returns status (queued, publishing, published, failed), platform URL, and account details.
Send upvotes to a published reply. Specify the reply ID and number of upvotes. Boosts visibility with organic-looking engagement on Reddit.
View current usage for the billing period. Returns replies used, remaining quota, plan name, and period dates.
List recent replies with status, platform, timestamps, and URLs. Supports filtering by platform and status for quick review.
Get full details of a specific reply by ID. Includes content, platform URL, account info, status history, and upvote count.
Any client that supports the Model Context Protocol can use DropReply.
Anthropic's desktop app with native MCP support
CLI coding agent with full MCP tool support
AI code editor with MCP server configuration
Any tool supporting the open MCP protocol
Let your AI agent handle social media replies the way it handles everything else.
No code, no API docs. Just ask your AI to "reply to this thread" and it handles the rest using DropReply tools behind the scenes.
Your API key stays in the MCP config file. The AI agent never sees the raw key - it just calls tools that are pre-authenticated.
No SDK to install, no HTTP client to configure. Add the MCP config and your AI agent has full access to DropReply instantly.
Your AI agent reads the thread, understands the context, and composes relevant replies. Better content quality than manual templating.
Publish, check status, send upvotes, review usage - all from a single conversation with your AI. No context switching.
Combine DropReply MCP tools with other MCP servers. Let your AI search for threads, generate content, and publish - all in one flow.