Gorilla MCP
This MCP helps you find your first 100 users on social media channels using Gorilla, a tool designed for founders by founders.
README
Gorilla MCP Server
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
- Sign up at usegorilla.app and pick a plan ($0.99 single run, $3.99/wk Pro, or $149.99 lifetime).
- Sign in at gorilla.opusforge.com.br.
- Menu, API Keys, Create.
- 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, ortiktokqueries(required): Array of search queriesrun_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
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.