The cheat code · AI agent tool
Plug Gorilla into your agent.
Gorilla is open-source on the Model Context Protocol. Drop the server into Claude, Cursor, Codex, or any MCP-compatible agent. Your agent runs the demand hunt for you — high-intent posts across Reddit, X, YouTube, TikTok and LinkedIn — and drafts the replies.
{
"mcpServers": {
"gorilla": {
"command": "npx",
"args": ["-y", "github:opusforge/gorilla-mcp"],
"env": { "GORILLA_API_KEY": "grla_..." }
}
}
}
Find high-intent conversations
for <your idea>.
Draft 2 short replies.
What the MCP server does
The server exposes Gorilla's lead-discovery pipeline as tools your agent can call. Your agent decides when to expand a theme, when to scan, and when to draft a reply — same engine as the web app, driven from chat.
- Theme expansion — turns a one-line idea into the keywords, pain phrases, and competitor names buyers actually use.
- Multi-platform search — runs a single hunt across Reddit, X, YouTube, TikTok and LinkedIn in parallel.
- Intent scoring — ranks every post 0–100 on signal, fit, and recency.
- Reply drafting — produces short, sub-aware drafts. You read, edit, and post yourself. No bots, no auto-reply.
When this beats the web app
The MCP server is for founders who already live in an agent. Skip the dashboard, keep the work where you are — your codebase, your terminal, your chat. Pipe the results into a doc, a CSV, a Notion table, whatever your agent already knows how to write to.
What you need
- A Gorilla API key — sign up free, copy it from your dashboard.
- An MCP-compatible agent. Claude Desktop, Claude Code, Cursor, and Codex all work. Any client that speaks MCP can run the server.
npxon the box you're running the agent from. The first run pulls the package straight from GitHub.