Gorilla MCP
The Gorilla MCP server helps you find early SaaS users by identifying demand signals across social platforms, then refine your idea, draft outreach, and plan acquisition strategies.
find_leads– Run the full lead-generation pipeline across Reddit, YouTube, X, and TikTok, returning scored leads with relevance scores, categories, and outreach angles (costs 1 run credit; takes 30–90 seconds)refine_idea– Generate clarifying questions to sharpen your product idea before searchingenhance_idea– Synthesize your answers into a polished product description for better search resultsexpand_themes– Generate search keywords, pain points, competitor names, and adjacent niches from a product ideasearch_source– Search a single platform (Reddit, X/Twitter, YouTube, or TikTok) with custom queries; optionally attach results to an existing rundraft_outreach– Draft a platform-tuned outreach message (Reddit comment, X reply, YouTube comment, TikTok comment, Instagram DM, etc.) for a specific leadplan_acquisition_funnel– Group leads from a completed run by channel, score, and category, and produce a structured first-week acquisition plan with send volumes and follow-up cadenceget_run– Fetch results for a specific completed run by IDlist_runs– List all previous lead-generation runsbilling_status– Check your current plan, weekly usage, referral credits, and total available run credits
Search Reddit for discussions and leads related to a product idea, retrieving relevant posts with scores and outreach angles.
Search TikTok for content and trends related to a product concept to identify potential users.
Search YouTube for videos and comments mentioning pain points or demand for a product idea.
Gorilla MCP Server
Model Context Protocol server for Gorilla. Find your first 100 SaaS users by searching Reddit, X, YouTube, LinkedIn, and Bluesky for real demand signals. Start free with 100 credits. You spend one credit per qualified lead (hot or warm); low-relevance results are free.
Learn more: usegorilla.app · Real run examples · How Gorilla compares · Blog
Setup
Run directly from GitHub with npx:
GORILLA_API_KEY=grla_... npx -y @usegorilla/mcpOr 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.jsGet your API key
Sign up at usegorilla.app. Free tier: 100 credits, no card.
Sign in at platform.usegorilla.app.
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", "@usegorilla/mcp"],
"env": {
"GORILLA_API_KEY": "grla_your_key_here"
}
}
}
}Configure in Cursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"gorilla": {
"command": "npx",
"args": ["-y", "@usegorilla/mcp"],
"env": {
"GORILLA_API_KEY": "grla_your_key_here"
}
}
}
}Related MCP server: Reddit MCP
Tools
search
Search Reddit, X, YouTube, LinkedIn, and Bluesky in parallel for posts where people express demand for what you describe. Returns results ranked Hot / Warm / Cold by buying intent. Takes 30-90 seconds. One credit per qualified lead (Hot or Warm); Cold results are free, and a failed search is refunded. LinkedIn is a paid-plan source; the free tier covers Reddit, X, YouTube, and Bluesky.
Parameters:
query(required) - what to search for, in your own wordssource(optional) -reddit,twitter,youtube,linkedin,bluesky, orall(default)since(optional) -24h|7d|30d|all, or an ISO date. Default7d.limit(optional) - max results, 1-200. Default 50.
Returns: A search_id plus scored results (source, channel, title, URL, score, Hot/Warm/Cold) and the credits charged.
get_search
Fetch the current state and results for a search by its search_id. Use it to recover a search that timed out client-side, or to re-read a recent one. Free.
Parameters: search_id (required)
billing_status
Check your plan and remaining credit balance. Free.
Returns: Plan (free or monthly) and credit balance (tier + pack = total).
Example workflow
1. search("a language learning app for travelers")
-> search_id + scored leads across Reddit, X, YouTube, LinkedIn, Bluesky,
ranked Hot / Warm / Cold by buying intent. One credit per Hot/Warm lead.
2. get_search(search_id) -> re-read or recover results without searching again
3. billing_status() -> plan + credits remainingInstall 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 |
| Yes | Your API key (starts with |
| No | Override the API base. Default |
No other configuration is required — the package talks to the public API with your key.
Pricing
Free tier: 100 credits, granted once, no card. A one-time trial.
Paid plan: $14.99/mo for 2,000 credits. Unused credits roll over.
Metering: one credit per qualified lead (hot or warm). Low-relevance results are free. Failed searches refund.
Sources: the free tier covers Reddit, X, YouTube, and Bluesky. The paid plan adds LinkedIn (all five).
search spends one credit per qualified lead it returns; Cold results are free. get_search and billing_status are free.
See usegorilla.app for the full product.
Maintenance
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/opusforge/gorilla-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server