Gorilla MCP

Gorilla MCP

This MCP helps you find your first 100 users on social media channels using Gorilla, a tool designed for founders by founders.

Category
Visit Server

README

Gorilla MCP Server

CI Version License: MIT smithery badge gorilla-mcp MCP server

Stars Last commit Open issues TypeScript Node MCP SDK Built for Claude

Model Context Protocol server for Gorilla. Find your first 100 SaaS users by searching Reddit, YouTube, X, and TikTok for real demand signals.

Learn more: usegorilla.app · Real run examples · How Gorilla compares · Blog

<a href="https://glama.ai/mcp/servers/opusforge/gorilla-mcp"> <img width="380" src="https://glama.ai/mcp/servers/opusforge/gorilla-mcp/badges/card.svg" alt="gorilla-mcp MCP server"> </a>

Setup

Run directly from GitHub with npx:

GORILLA_API_KEY=grla_... npx -y github:opusforge/gorilla-mcp

Or clone and run locally:

git clone https://github.com/opusforge/gorilla-mcp
cd gorilla-mcp
npm install && npm run build
GORILLA_API_KEY=grla_... node dist/index.js

Get your API key

  1. Sign up at usegorilla.app and pick a plan ($0.99 single run, $3.99/wk Pro, or $149.99 lifetime).
  2. Sign in at gorilla.opusforge.com.br.
  3. Menu, API Keys, Create.
  4. Copy the key (shown once).

Configure in Claude Code

Add to your Claude Code settings:

{
  "mcpServers": {
    "gorilla": {
      "command": "npx",
      "args": ["-y", "github:opusforge/gorilla-mcp"],
      "env": {
        "GORILLA_API_KEY": "grla_your_key_here"
      }
    }
  }
}

Configure in Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "gorilla": {
      "command": "npx",
      "args": ["-y", "github:opusforge/gorilla-mcp"],
      "env": {
        "GORILLA_API_KEY": "grla_your_key_here"
      }
    }
  }
}

Tools

Tools are namespaced by domain (leads.*, idea.*, runs.*, outreach.*, account.*).

leads.find

Run the full pipeline. Searches Reddit, X, YouTube, and TikTok and returns scored leads. Takes 60-120 seconds. Costs 1 run credit.

Parameters: idea (required) — product description

Returns: Scored leads with source, channel, title, URL, lead_score (0-1), and outreach hints.


idea.refine

Conversational refinement. Returns one clarifying question at a time to sharpen the idea before searching. Free.

Parameters: idea (required), plus current_refined_idea, history, language, turn, max_turns (all optional)

Returns: Status, refined_idea, readiness_score, and the next question (or null when ready).


idea.expand

Generate keyword scaffolding (core keywords, adjacent niches, pain points, competitor names, exclusion terms) without running searches. Costs 1 run credit.

Parameters: idea (required)

Returns: Structured themes for targeted searches.


leads.search

Search a single platform with custom queries. Bypasses theme expansion and AI scoring. Costs 1 run credit.

Parameters:

  • source (required): reddit, x, youtube, or tiktok
  • queries (required): Array of search queries
  • run_id (optional): Attach results to an existing run

Returns: Raw leads from the specified platform.


runs.get

Fetch results for a previously-started run. Free.

Parameters: run_id (required)


runs.list

List your last 50 runs, newest first. Free.


account.billing

Check your plan, remaining weekly runs, and referral credits. Free.

Returns: Plan name, weekly usage, referral credits, total available runs.


outreach.draft

Generate a platform-tuned outreach message for a specific lead. Costs 1 run credit per draft.

Parameters: idea, source, outreach_action, post_title, post_body (required), plus optional post_handle, language, reply_to_author, reply_to_text.

Returns: A ready-to-paste draft.


outreach.plan

Build a Week-1 outreach plan from a completed run's HIGH-intent leads, with per-channel send cadence. Free.

Parameters: run_id (required)

Example workflow

1. idea.refine("a language learning app for travelers")
   → "Who's the target user? Daily commuters or tourists?"

2. leads.find(refined_idea)
   → 47 leads across Reddit, YouTube, X, and TikTok
   → 12 high-intent (people actively searching for this)

3. outreach.plan(run_id)
   → Week-1 plan: 3/day on Reddit, 4/day on X, 2/day on YT/TT

4. outreach.draft(...)  → ready-to-send reply for each high-intent lead

Install via Smithery

Available at smithery.ai/server/opusforge/gorilla-mcp. Smithery distributes a pre-built MCPB bundle that any MCPB-compatible client can install in one click.

Environment variables

Variable Required Description
GORILLA_API_KEY Yes Your API key (starts with grla_)
GORILLA_DEFAULT_LANGUAGE No Fallback language for idea.refine and outreach.draft (en, pt, all). Default: en.
GORILLA_CONFIG_URL No Override the runtime config endpoint. Useful for staging or self-hosted deployments.

Backend URL and gateway key are fetched automatically from https://gorilla.opusforge.com.br/mcp-config.json on startup. No other configuration required.

Pricing

  • Single run: $0.99. Pay per use, no subscription.
  • Weekly Pro: $3.99/week, 5 runs.
  • Lifetime: $149.99 once, unlimited runs.

leads.find, leads.search, idea.expand, and outreach.draft each cost 1 run credit. idea.refine, runs.get, runs.list, account.billing, and outreach.plan are free.

See usegorilla.app for current plans and the full product.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured